• Open access
  • Published: 24 July 2023

Severity of waterborne diseases in developing countries and the effectiveness of ceramic filters for improving water quality

  • Godfrey Michael Shayo   ORCID: orcid.org/0000-0001-6082-5897 1 ,
  • Elianaso Elimbinzi 1 ,
  • Godlisten N. Shao 1 &
  • Christina Fabian 1  

Bulletin of the National Research Centre volume  47 , Article number:  113 ( 2023 ) Cite this article

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Metrics details

It is anticipated that three (3) billion people will experience water stress by 2025 due to limited access to clean water. Water-related diseases and fatalities affect both industrialized and developing countries. Waterborne diseases are challenging worldwide, especially in developing countries. This article evaluates strategies used by various countries, particularly developing countries, to combat waterborne diseases. These strategies have been largely successful in reducing the prevalence of water-related diseases in developing countries.

Main body of the abstract

The effectiveness of these strategies is evaluated in terms of their ability to remove water contaminants such as bacteria, viruses, and chemicals. Different strategies can be used, including traditional water treatment techniques such as boiling, chlorination, flocculation, solar disinfection and ceramic-based water filtration systems. These methods can help improve water quality and safety. The choice of strategy depends on the specific contaminants in the water and the desired outcome. Proper implementation of these strategies is key to ensuring safe drinking water.

Short conclusion

It was revealed that in developing countries, multiple water treatment techniques are used. This has led to the reduction in waterborne diseases from 50 to 90%. Ceramic-based water purification systems are reportedly the modern and least expensive technique, since they are highly efficient and can be made locally. Thus, ceramic water filtration systems are widely used due to their affordability and easy maintenance.

Waterborne diseases are conditions caused by pathogenic microorganisms such as bacteria, protozoa, and viruses transmitted through water. When measures are delayed, these pathogens may cause adverse effects on human health, such as disability, illness, disorders, or death (Landrigan et al. 2020 ). Transmission of these pathogens occurs while using infected water for drinking, food preparation, and washing clothes (WHO 2022 ). However, most waterborne infections are spread by the fecal–oral pathway, which happens when human feces are consumed by drinking contaminated water or eating infected food, which is mostly caused by inadequate sewage management and sanitation. Waterborne pathogens, which accelerate waterborne diseases, significantly affect people’s health by causing mortality and morbidity (Ferreira et al. 2021 ; Gall et al. 2015a , b ; Shailemo et al. 2016 ). Waterborne diseases can cost people their lives and their socioeconomic status. Several research reports, government and non-government resources demonstrate this quietly. Access to clean water and sanitation facilities is essential for the prevention of waterborne diseases and the protection of public health. Proper management of water resources is critical for the prevention and control of waterborne diseases. Water quality monitoring and surveillance is necessary to protect public health.

Globally, 2.1 billion people lack access to clean and safe drinking water, resulting in 2.2 million deaths from waterborne diseases each year (UN 2019 ). Domestic water supplies must be free of disease-carrying microbes and other chemical contaminants to be safe for human consumption. It was once anticipated that until 2021, only 44% of the world’s population would have access to safe sources of water. This left a larger population, i.e., 56% of the world’s population, with access to unsafe and contaminated water from sewage, septic tanks, latrines, agricultural activities, and other human activities (World Health Organization 2020 ). Contamination of surface and groundwater ensures that waterborne diseases persist, particularly in developing countries. Currently, the global picture of water and health has a strong local dimension, with 1.1 billion people still lacking access to improved drinking water sources and 2.4 billion to adequate sanitation. There is extensive evidence that water-related, sanitation, and hygiene-related diseases account for 2.2 million deaths annually and an annual loss of 8.2 million disability-adjusted life (Anyango 2019 ; Kätzl 2019 ). The severity is much higher in developing countries than developed countries.

Waterborne diseases are one of society's most persistent and economically disastrous biological threats. Four-fifths of all illnesses in developing countries are caused by waterborne diseases, with diarrhea being the leading cause of childhood deaths (Luby et al. 2018 ). Generally, 1.8 million people die every year from waterborne diseases including cholera, typhoid, urinary tract infections, schistosomiasis and other diarrheal diseases. Nevertheless, waterborne diarrhea remains a prominent cause of mortality and sickness among children in developing nations, with 90% of diarrhea fatalities occurring in children under five. Rural residents in developing countries use discharge near or around neighboring shrubs and jungles for defecation, which results in fecal pollution of water in rural African and other developing-country locations. (Manetu and Karanja 2021 ). Common waterborne diseases include bacteria-caused diseases such as cholera, typhoid, and diarrhea, protozoa such as amoebiasis, and viral diseases such as retrovirals, hepatitis A, hepatitis E, and polio infections.

In contrast to many other outbreaks of diseases with incurable diagnoses or expensive preventions and treatments (Paliwal 2021 ), waterborne infections can be combated with local, affordable resources, minimal lifestyle changes, culturally relevant solutions, and clear and affordable awareness campaigns. Due to their ambiguity and variable applicability to different societies, environments, and durations, these sorts of solutions are called acceptable strategies. This paper reviews several strategies on their efficacy in combating waterborne diseases, particularly in rural regions of developing countries. Researchers have reported on several different strategies previously. A number of suggestions are provided, especially for developing countries that still suffer the brunt of waterborne disease. Finally, it suggests cost-effective and easy strategies when employed.

Severity of waterborne diseases in the world, developing countries and rural areas

Waterborne infections are transmitted through infected drinking water and food sources. The major causes of contamination are poor hygiene and sanitation. According to the World Bank, 2.6 billion people worldwide lack access to basic sanitation, which is defined as a clean and safe toilet or latrine (Gall et al. 2015a , b ; Weststrate et al. 2019 ). As a result, more than a quarter of the world's population must defecate behind buildings, in fields, or near communal water supplies. Disease transmission is significant when fecal matter is not properly disposed of. Infection and sickness can result from unintentional contact with excrement by people or other living things like pets or flies. In addition, using untreated human waste as fertilizer in agricultural techniques results in many infectious diseases. Additionally, due to a lack of control over the movement and habitat of most animals, pollution of nearby water sources by the feces of both domesticated and wild animals is a significant issue that is frequently more challenging to manage (Diedrich et al. 2023 ) .

Around 15% of the world's population lives in water-stressed areas (Javed and Kabeer 2018 ). Rural areas in developing nations lack access to reliable clean water supply points. Thus, they are vulnerable to waterborne diseases (Gwenzi and Sanganyado 2019 ). On the other hand, around 2.5 billion people lack access to proper sanitation, and 2–2.5 million people die from diarrhea each year (Javed and Kabeer 2018 ). Therefore, most people in these places drink untreated water from readily available contaminated sources, putting them at risk of contracting waterborne diseases. Generally, contaminated water is commonly used as a medium for disease transmission (Shailemo et al. 2016 Ali and Ahmad 2020 ).

The prevalence of waterborne intestinal pathogens such as bacteria, viruses and protozoa in domestic water sources poses a serious health risk to humans (Wen et al. 2020 ). The majority of outbreaks, though infrequent, are usually associated with sewage-contaminated or inadequately treated water. Figure  1 illustrates the transmission of waterborne diseases in the human population. Contaminated water sources serve as the primary reservoir for various contaminants, including bacteria, viruses and chemicals. These contaminants can enter the human body through ingestion, inhalation, or contact with contaminated water. Inadequate sanitation and poor hygiene practices further facilitate the spread of waterborne diseases. Once inside the body, these pathogens can cause a range of illnesses, such as gastroenteritis, cholera, hepatitis, and parasitic infections. Effective prevention and control measures, such as access to clean drinking water, proper sanitation systems, education on hygiene practices and the employment of water treatment techniques such as filtration, are crucial for reducing the incidence and impact of waterborne diseases. By addressing these factors, we can safeguard public health and promote a safer and healthier environment. Furthermore, sewage system failure and overpopulation raise the danger of infectious disease transmission, either via the virtual presence of a large number of bacteria in the environment or through contaminated drinking water (Mwambete and Tairo 2018 ).

figure 1

Schematic presentation of waterborne diseases transmission in human being

Although access to clean water is somehow managed in urban areas of developing countries, the situation is still poor or non-existent in rural parts of these countries (Murei et al. 2022 ). Approximately, 49% of unimproved sources, such as dug wells, natural springs, and other surface water sources are observed in rural areas. Diarrhea occurs worldwide and causes 4% of all deaths and 5% of disability loss. For example, in Bangladesh, 35 million people are daily exposed to elevated arsenic levels in their drinking water. This will ultimately threaten their health and shorten their life expectancy (World Health Organization 2020 ). Infection is common in low-income and middle-income countries with poor sanitary conditions and hygiene practices, where most children almost 90%, have been infected with the hepatitis A virus before 10 years, most often without symptoms (WHO 2022 ). Infection rates are low in high-income countries with proper sanitary and hygiene conditions.

Strategies in combating waterborne diseases

There are ways for disadvantaged people all over the world, especially those living in rural regions, to get access to clean water for drinking and other household needs. These may be referred to point-of-use (POU). Several domestic treatment methods, including boiling, sun disinfection, filtration, chemical disinfection like chlorination and flocculation, and/or sedimentation, have been implemented by several developing nations as part of their adaptation to treatment tactics (Branz et al. 2017 ; Lantagne and Yates 2018 ). The main treatment methods are shown in Table 1 along with each method's characteristics. People use these methods to prevent waterborne illnesses. Results for addressing various water pollutants, such as color, total solids, turbidity, and odor, are highly encouraging. However, in some cases, they cannot remove other water contaminants such as virus, chemicals that is, chlorine, heavy metals and other organic contaminants and bacteria contaminants. This leaves it up to researchers to investigate the efficacy of creating a ceramic filtration system with multiple capabilities for water purification. This includes the incorporation of nanomaterials like silver, copper, and gold to remove bacterial and pathogenic microorganisms. However, the incorporation of hydroxyapatite helps to remove heavy metal chemical contaminants and improve pores structure for correction of color, pH, turbidity, total dissolved solids and biological oxygen demagnetization.

Water quality and resource protection are still funded by international and non-governmental groups. Several cases of aquatic infectious diseases have been documented (Annan et al. 2018 ). Incorporating nanoparticles of noble metals into filtration technology seems to be a viable option. Some studies have reported the removal of viral and chemical contaminants through doping conventional ceramic water filters with metal oxide. Conventional ceramic water filters have been advantageous in the filtration of some water contaminants, such as bacteria, protozoa and other contaminants with ≥ 2 µm diameter size (Nigay et al. 2019 ). Recently, some studies have reported the removal of viruses through doping of standard ceramic water filters with metal oxides, such as aluminum oxide, magnesium oxide, iron oxide and titanium oxide (Mutuma et al. 2015 ; Nigay et al. 2019 ; Shao et al. 2014 , 2015 ) and chemical contaminants through hydroxyapatite (HA) doping (Haider et al. 2019 ; Nigay et al. 2019 ; Farrow et al. 2018 ). For a decade, the filtration of water contaminants such as physical, chemical and biological contaminants has been in practice in several countries. This is to address the problem of lack of safe and clean drinking water.

Viral waterborne diseases in developing countries

Viruses are the tiniest microorganisms of all parasites, with an approximate size ranging from 0.03 to 0.1 µm. Viruses are present in drinking water sources but their impact on human health is less widely understood and acknowledged. However, swallowing them can have major health consequences (Gall et al. 2015a , b ; Adelodun et al. 2021 ). More than 100 different human and animal enteric viruses have been identified as water transmissible. Rotavirus, enterovirus, norovirus and hepatitis A and E are all viral infections spread through water. Researchers have had limited success in deactivating or eliminating viruses from drinking water (Annan et al. 2018 ). Surface water contamination with enteric viruses due to human waste disposal is a public health hazard. This is especially true if these surface waterways are used for recreational, irrigation or drinking water production (Gall et al. 2015a , b ; McKee and Cruz 2021 ). Polluted water transfers viruses, including drinking and recreational water. Outbreaks involving huge numbers of diseased people are typical because numerous people may ingest a batch of water or come into contact with contaminated materials (McKee and Cruz 2021 ). Viral gastroenteritis outbreaks are mostly caused by norovirus, whereas viral hepatitis outbreaks are mostly caused by Hepatitis A Virus and rarely by Hepatitis E Virus (Bosch et al. 2011 ; McKee and Cruz 2021 ).

Viral infections, particularly those caused by rotavirus, are the most common causes of acute diarrheal diseases. Over half a million people worldwide die each year from the rotavirus, which is so pervasive that it infects almost every child by the age of five (Charoenwat et al. 2022 ). Typically, viral hepatitis affects the liver. It can be acute (fresh infection, fast onset) or chronic (long onset) (Aggarwal 2011 ; Kim et al. 2021 ). Infection with one of the five known hepatotropic viruses (hepatitis A, B, C, D and E viruses) causes viral hepatitis. Viral-based waterborne diseases can also be transmitted through inhalation or contact with skin and eyes which can both spread viruses, resulting in respiratory and ocular diseases. For healthy people, viral infections are typically self-limiting, but in children under five, the elderly, immune-compromised adults and pregnant women, they are at higher risk (Gall et al. 2015a , b ). Waterborne virus-based infections may be more common in developing countries, where hunger is common, and there are huge populations of HIV-positive (Gall et al. 2015a , b ; WHO 2022 ).

For this paper, only waterborne hepatitis viruses A and E will be discussed. In populations with unsafe water and inadequate sanitation, viral hepatitis A and E are food and waterborne diseases that can cause acute epidemics. They do not cause chronic infection or liver damage, and there is no treatment for them. Improvements in sanitation, food safety, and immunization are all effective prevention methods (Aggarwal 2011 ; Kim et al. 2021 ). The most typical clinical outcome of hepatitis A or E virus infection is a sickness typified by an abrupt onset of fever and systemic symptoms, followed by jaundice a few days later.

Hepatitis A and E viral waterborne diseases

Hepatitis A is a self-limiting liver illness caused by Hepatitis A virus infection. Hepatitis A viral infection spreads by the fecal–oral route, which can be transmitted directly from person to person or indirectly through the intake of feces-contaminated food or water (Foster et al. 2019 ). Because the hepatitis A virus is abundantly discharged in feces and may live in the environment for extended periods of time, it is usually a food-waterborne illness (Foster et al. 2019 ; Gullón et al. 2017 ). In regions where sanitation is inadequate and living conditions are dense, infections arise early in life. Infections are delayed due to increased sanitation and hygiene, and the number of people vulnerable to the disease rises (Gullón et al. 2017 ). In these circumstances, fecal contamination from a single source might result in explosive epidemics. Adults are increasingly contracting hepatitis A virus infections in most developed countries, where hepatitis A is no longer considered a childhood illness (Foster et al. 2019 ; Gullón et al. 2017 ).

Hepatitis E is an acute hepatitis caused by the Hepatitis E Virus infection. The virus spreads predominantly by the fecal–oral route, and it is extremely prevalent in certain underdeveloped nations where drinking water might be contaminated (Aggarwal 2011 ; Magana-Arachchi and Wanigatunge 2020 ). It manifests itself as outbreaks and occasional instances of acute hepatitis in these highly endemic locations. The illness is usually self-limiting and resembles other hepatotropic viruses. However, in some cases, the condition progresses to severe liver failure (Magana-Arachchi and Wanigatunge 2020 ). The Indian subcontinent, China, Southeast and Central Asia, the Middle East and northern and western Africa are all highly endemic to hepatitis E (Yekta et al. 2021 ). Hepatitis E outbreaks of various magnitudes have been documented in these regions. Furthermore, hepatitis E virus infection is responsible for a substantial number of sporadic acute hepatitis cases in these locations. The most prevalent mode of illness transmission in these places is water (Yekta et al. 2021 ). The hepatitis E virus has been linked to a 25% mortality rate in pregnant women (World Health Organization 2022 ). Several strategies have been discussed to combat hepatitis A and E viral waterborne infections including physical elimination, chemical treatment and UV light disinfection.

Strategies for combating viral waterborne diseases in developing countries

In the elimination of viral water contaminants from drinking water, several strategies have been used. However, there are two common and effective strategies used in the world and particularly in developed countries, which are physical elimination of pathogens by conventional treatment and the inactivation of viral pathogens using ultraviolet irradiation or chemical oxidants such as chlorine, chloramines, ozone and chlorine dioxide (Gall et al. 2015a , b ). Because viruses are so small, conventional treatment methods, such as filtration, are unsuccessful in physically eliminating them (Gall et al. 2015a , b ; Nigay et al. 2019 ). Disinfectants are heavily dependent on water chemistry and local restrictions. A common disinfection technique in recent years has been chlorination, where free chlorine is derived from hypochlorous acid and hypochlorite ions that are dissolved in water and hydrolyzed. This strategy has been used to disinfect water since the early 1900s (Branz et al. 2017 ; Gall et al. 2015a , b ; Lantagne and Yates 2018 ). This powerful oxidant renders most viruses dormant. However, free chlorine treatment may release harmful disinfection by-products and fails to control Cryptosporidium, a protozoan that causes diarrhea and spreads through water (Khan et al. 2019 ; Gall et al. 2015a , b ). To control the formation of regulated toxic disinfection by-products, some drinking water utilities are switching to monochloramine which is formed by mixing chlorine and ammonia with the latter in slightly excess; and/or either monochromatic (254 nm) or polychromatic (200–300 nm) ultraviolet (UV) light to control both disinfection by-products formation and Cryptosporidium contamination. In spite of these modifications to the disinfection method, the UV light technique comes with a very high cost for virus control compared to other conventional methods (Gall et al. 2015a , b ; Ibrahim et al. 2021 ).

In order to deal with the viral-based waterborne situation, total abstinence from all water sources such as streams, ponds, rivers and lakes is necessary, as well as other water sources that may be contaminated by waterborne pathogens and other chemicals. With a variety of methods, some developed countries, such as the United States, Canada, the Netherlands, and Western Australia, have shown efficiency in wastewater treatment. This is due to differences in socioeconomic factors (Ferreira et al. 2021 ). Most waterborne illnesses are not prevalent in developed countries because of sophisticated water systems that filter and chlorinate water to eradicate all disease-carrying organisms. In developing countries, however, waterborne diseases such as Hepatitis A and E, remain prevalent. The strategies employed in developed countries may not be feasible, particularly in rural areas where proper sanitation and infrastructure for water management are difficult to attain (Levy et al. 2018 ). As a result, this review recommends using point-of-use water treatment technology as a replacement, particularly for ceramic water filters that can be produced at a price affordable for rural residents when doped with metal oxides like alumina, titania, iron oxide, zinc oxide, or magnesium oxide (Mutuma et al. 2015 ; Nigay et al. 2019 ).

Bacterial waterborne diseases

Bacteria are single-celled or non-cellular, spherical, spiral or rod-shaped microorganisms that reproduce by fission and are key pathogens and biochemical characteristics. Bacteria are well-known diarrhea-causing diseases transmitted through contaminated drinking water. Depending on the bacteria kind and number present, these bacteria may or may not be detrimental, but the cumulative effect might be devastating. Bacteria are generally between 0.5 and 2 µm long (Annan et al. 2018 ). Vibrio cholerae , Salmonella sp., Campylobacter sp., Shigella sp., and Staphylococcus aureus are all bacteria spread through water. Coliform bacteria are a group of microorganisms found in the environment and mammals' intestines. They are usually harmless, but their presence indicates that drinking water's microbiological quality is of concern (Mwambete and Tairo 2018 ; World Health Organization 2006 ). Some coliforms bacteria include Escherichia, Serratia, Enterobacter, Proteus, Klebsiella, Citrobacter, Yersinia and Hafnia species . However, E. coli is the only member found in the intestines of mammals including humans; thus, its presence indicates recent fecal contamination and the possible presence of other waterborne pathogens.

Drinking water is a significant vehicle for bacterial waterborne infections such as cholera, diarrhea and typhoid fever (Gwenzi and Sanganyado 2019 ; Mwambete and Tairo 2018 ; World Health Organization 2006 ). Cholera is caused by the bacteria Vibrio cholerae , which causes severe diarrhea, vomiting, dehydration and death. It can be severe if not treated properly, up to 50% of the time. However, medication can reduce the severity to as little as 1% of the time. Cholera causes 100,000 deaths worldwide (Lee et al. 2017 ). Salmonella typhi bacteria are the source of the potentially fatal bacterial infection known as typhoid fever. There are still roughly 21 million cases of typhoid fever each year in developing nations. Only people carry Salmonella typhi . Typhoid fever patients have bacteria in their blood and intestines. Few people, called carriers, recover from typhoid fever but still carry the germ. Sick persons and carriers excrete S. typhi in their stools. Consuming or drinking food or beverages that have been touched by someone shedding S. typhi bacteria or drinking or washing food with sewage contaminated with S. typhi bacteria can result in typhoid fever (Brockett et al. 2020 ).

In developing countries, E. coli is the most common cause of diarrheal disease infections and human gastrointestinal tract infections caused by ingesting contaminated water (Gwenzi and Sanganyado 2019 ). In Africa, for instance, a severe cholera epidemic broke out in Zimbabwe in 2008 and quickly spread to neighboring nations (Zambia, Botswana, Mozambique and South Africa). Due to poor sanitation and waste management practices and a limited supply of clean piped water, the scarcity of safe drinking water in Zimbabwe's urban areas had a significant role in the development and spread of the disease. Poor water sanitation and hygiene are linked to a higher proportion of intestinal parasitic infections, with the majority being fecal–oral (Gwenzi and Sanganyado 2019 ; Gwimbi et al. 2019 ). In rural regions of most developing nations, where water supplies are communally shared and exposed to many fecal–oral transmission paths within their neighborhood boundaries, bacterial contamination of drinking water is a major contributor to waterborne illnesses (Reece et al. 2017 ; Iwu and Okoh 2019 ). E. coli infections linked to polluted water continue to be a serious public health problem, as their presence indicates the prevalence of deadly disorders such as diarrhea (Iwu and Okoh 2019 ). Despite the fact that the endemicity and intensity of bacterial waterborne illnesses have decreased in developing countries, the case fatality rates in cholera cases remain significantly higher in Africa (about 60%) than in Asia (29%) (Montufar-Salcedo, 2018 ). However, the World Health Organization (WHO) reports that 1.3 million suspected cases of typhoid fever have been recorded in Africa since 2021, with 502 deaths (2%) out of 30,934 confirmed cases in DRC. These are the most common bacterial-associated waterborne diseases in most developing countries (Gwimbi et al. 2019 ).

Strategies for combating bacterial waterborne diseases

Recently, bacterial-based water contaminants have been solved thanks to the availability of common point-of-use water treatment technologies. In most developing countries, the technologies include boiling, chlorination of contaminated water, solar disinfection and filtration techniques such as bone char, bio-sand, slow sand, membrane purifiers and ceramic filters (Farrow et al. 2018 ). Although all of them work effectively in bacterial removal, ceramic filters are perceived by most users and developers due to their easy and affordable cost of fabrication, as they require the availability of regional materials such as clay, soil, sawdust, starch, wheat flour, and milled rice husk which hence makes their dissemination to people cost-effective and economically sound. The incorporation of noble metals into ceramic water filters ensures the efficient functioning or performance of the filters, this is to say, by increasing bacterial disinfection or by increasing bio-film disinfection ability. Metal oxide nanoparticles' antibacterial capabilities, manufacturing techniques and microorganisms removed during water treatment are summarized in Table 2 .

From Table 2 , based on the different Lewis-dot structures, metal oxides display diverse physicochemical and functional properties, including magnetic, optical, mechanical, and electrical properties/features (Raghunath and Perumal 2017 ). They have shown the ability to interact with bacteria through electrostatic interactions through prokaryotic cell walls and enzyme or DNA alteration through reactive oxygen species (ROS) production (Gold et al. 2018 ). Under light exposure (He et al. 2016 ), magnesium oxide nanoparticles act as antibacterial agents and produce ROS. The ROS then enters the bacterial cell membrane while reducing both oxidative stresses on the cell organelles and lipid peroxidation, thereby preventing oxidative degradation of lipids (Gold et al. 2018 ). Since titania is a strong photocatalytic material with high oxidizing power and long-term stability, it can generate ROS with a wavelength of around 320–385 nm, hence its ability as an antimicrobial agent (Kumaravel et al. 2021 ). The action of metal oxide antimicrobial agents involves several working mechanisms, including cell membrane damage due to electrostatic interaction, disruption in metal/metal ion homeostasis, production of ROS and oxidative stress, protein and enzyme dysfunction, genotoxicity, signal transduction inhibition, and photo-removal (Raghunath and Perumal 2017 ).

However, from Table 2, it is anticipated that a higher concentration of MgO inhibits bacteria’s growth against E. coli which is higher than Bacillus sp . On the other hand, CuO provides more room to be used as a biocidal agent, such as against B. subtilis. This is due to its cost-effectiveness and better biocidal ability than other noble metal oxides (Hoseinnejad et al. 2018 ). In many studies, ZnO is proposed to have higher antibacterial ability than other metal oxides since they can pose a threat to both gram-positive and gram-negative bacteria. Furthermore, Al 2 O 3 at high concentrations has mild deactivation properties owing to the free radical scavenging capability of nanoparticles that prevent cell wall disintegration (Makvandi et al. 2020 ). Nevertheless, Al 2 O 3 has also been suggested to trap viral contaminants due to its positively charged surface (Nigay et al. 2019 ).

Chemical contamination of water

Water is a carrier of infectious microorganisms such as bacteria, parasites and viruses that spread via the fecal–oral route in water-based diseases. Similarly, chemicals are sometimes thought to be a source of infectious agents (Javed and Kabeer 2018 ). Water-stressed areas are home to about 15% of the world's population. Waterborne diseases are caused by chemical toxins, mostly found in industrial, municipal, and agricultural wastes (Javed and Kabeer 2018 ). For instance, heavy metals such as chromium, cadmium, nickel, lead, mercury and arsenic; cations, such as sodium, potassium, and calcium; anions, such as carbonates, bicarbonates, and nitrates; and pesticides, such as dichlorodiphenyltrichloroethane and benzene hexachloride enter water bodies from point and non-point sources and cause several health complications among people in many developing countries (Syafrudin et al. 2021 ).

Pesticide use has a number of advantages, including better food quality and quantity and reduced insect-borne diseases, but it has also prompted concerns about potential negative impacts on the environment, especially water sources (Syafrudin et al. 2021 ). Pesticides end up in bodies of water due to runoff from agricultural fields and industrial waste. Soluble pesticides are taken away by water molecules, which percolate lower into the soil layers and eventually reach surface waters and groundwater (Syafrudin et al. 2021 ). As a result, water quality deteriorates and drinkable water quantity decreases. Drinking water contaminated with heavy metals, pesticides, cations, and anions causes life-threatening complications in the gastrointestinal, renal, cardiovascular, pulmonary, and reproductive systems (Syafrudin et al. 2021 ). Furthermore, chemicals carried by polluted water can cause urinary tract burning and calculi, leukomelanosis, hyperkeratosis, black foot disease, neuropathy and cancer (Javed and Kabeer 2018 ; Syafrudin et al. 2021 ).

Chemicals in drinking water that exceed allowable levels may harm human health. This could be caused by human activities or natural occurrences. Chemical pollutants in drinking water have also been linked to a wide range of negative health impacts, including cancer, cardiovascular illness, neurological disease, and miscarriages. Leaching, spills, runoff, and air deposition are ways through which chemicals enter water systems (Annan et al. 2018 ). Heavy metals are found naturally in the earth's crust and are long-lasting environmental pollutants since they cannot be degraded or removed. They enter the human system in tiny amounts from food, air, and water, and bioaccumulate over time (Ali et al. 2017 ; Annan et al. 2018 ). Table 3 shows WHO and USEPA maximum permissible heavy metals in drinking water values.

With an acceptable concentration of 0.002 mg/L poisonous level, thallium and mercury are the most poisonous metals (Table 3 ). This puts human health at high risk compared to all other metals mentioned in the table. While nitrate, with a WHO rating of 11.3 mg/L and a USEPA rating of 10.0 mg/L, represents the highest allowable chemical concentration in the human body. Chemical contaminants in drinking water can pose a threat to human health sometimes, but the human body needs several heavy metal elements in their divalent cation forms, such as Zn 2+ , Fe 2+ and Cu 2+ . For instance, these metal divalents are required by the human body in the regulation of numerous physiological functions. These functions include protein and nucleic acid synthesis, antioxidant defense, and membrane stabilization. However, these metal divalents are required by the human body at very low concentration (Ali et al. 2017 ; Rehman et al. 2021 ). If their concentration exceeds the body's requirement level, metal divalent leads to health effects (Ali et al. 2017 ). Other heavy metals are poisonous to humans, such as Cd 2+ , Pb 2+ , Co 2+ , Pt 2+ and Ni 2+ . When the human body is contaminated with these metals, the kidneys, for instance, suffer the most. Hence, several effects are observed, including a decrease in essential elements entry due to heavy metal competition (Ali et al. 2017 ; Rehman et al. 2021 ).

Strategies for combating chemical contamination of water

Several studies have reported some positive progress advances in the discovery of therapeutic tools, such as cell protectors and metal chelators. These tools can be administered when an individual has taken the chemicals in any way, particularly through contaminated drinking water. But treatment must be a last option if, at all costs, the situation can be prevented from happening. Studies have reported developing point-of-use water treatment technologies, such as ceramic water filters, among many others as speculated in Table 1 , being more feasible for many people due to their low cost and ease of fabrication (Gupta et al. 2018 ; Farrow et al. 2018 ). Ceramic filters can be boosted in their efficiency in the removal of heavy metals, pesticides, and organic chemical contaminants when doped with hydroxyapatite chemicals, and the chemical materials made from bones (Haider et al. 2019 ; Nigay et al. 2019 ; Farrow et al. 2018 ). Nigay et al. ( 2019 ) reported that through a substitution mechanism, HA chemicals can interchange their chemical contents, that is, calcium ions, hydroxyl groups, and phosphate groups, with the heavy metal chemicals present in the contaminated water (Nigay et al. 2019 ).

Future prospect

Ceramic water filters, as used in many developed countries such as the USA, Netherlands, Canada, and Western Australia, can be used in developing countries with some modifications. This will improve performance and efficiency at the point-of-use. Conventional ceramic water filters can improve water quality in several parameters but fail in others. For instance, most bacterial contaminants can be physically filtered through conventional ceramic water filters. However, after some time of filter use, bacteria and mold grow on the surface of the system. Incorporating ceramic water filters with noble metals such as silver, copper, or gold in their nanoparticle form removes bacteria and prevents the system from becoming infected with protozoa (Loza et al. 2020 ; Praveena and Aris 2015 ). However, for several years, viral-based contaminants have been linked to hepatitis A and E diseases, which may cause liver cancer if chronic. Removal of viruses is quite challenging due to their small size, so they cannot be removed through physical strains. However, doping ceramic water filters with metal oxides including titania, alumina, magnesium oxide, or iron oxide facilitates the adsorption of viruses from water (Haider et al. 2019 ; Mutuma et al. 2015 ; Shao et al. 2015 ). This is due to the fact that viruses have negative surface charges and hence can be attracted to metal oxides, which are positively charged. Additionally, chemicals can be removed from water by hydroxyapatite chemicals (Haider et al. 2019 ; Nigay et al. 2019 ; Farrow et al. 2018 ). Doping ceramic water filters with hydroxyapatite is feasible and increases chemical removal efficiency. Therefore, the feasibility of having one system that simultaneously removes bacterial, viral, and chemical contaminants is quite possible. This is when a ceramic water filter is incorporated with noble metal nanoparticles and doped with metal oxides and hydroxyapatite.

Conclusions

Regardless of the disinfection method employed by a drinking water utility, cross-contamination can happen throughout the water distribution infrastructure. This is due to cavitation and unintended depressurization when treated water moves from the treatment facility to the point-of-use. However, because municipal water services are typically not available in poor nations, residents must acquire water from other nearby sources. Most of these sources are tainted with pollutants and bacteria that cause waterborne illness. The World Health Organization estimated in 2017 that environmental changes including expanding access to clean drinking water and raising sanitation and hygiene standards may prevent 94% of cases of waterborne diarrhea diseases. However, the increasing water availability, sanitation, hand washing, and domestic water treatment and safe storage can reduce diarrhea episodes by 25%, 32%, 45% and 39%, respectively. Although, these distribution systems need additional disinfectants. This review also offers recommendations for how developing nations can lower waterborne illnesses prevalence. These include raising the quantity and quality of drinking water, ensuring safe sewage disposal, and offering accessible, affordable sanitation solutions. For example, the adoption of point-of-use water treatment technologies. These technologies are simple, low-cost, and have the potential to reduce waterborne illnesses significantly. Furthermore, these solutions should be combined with educational campaigns to ensure that people are aware of how to use and maintain the technologies.

Availability of data and materials

Not applicable.

Abbreviations

Reactive oxygen species

Escherichia coli

United State Environmental Protection Agency

World Health Organization

Point of use

Ceramic water filters

Human immunodeficiency virus

Hydroxyapatite

Ultraviolet light

Hepatitis A viruses

Hepatitis E viruses

United Nation

Adelodun B, Ajibade FO, Ighalo JO, Odey G, Ibrahim RG, Kareem KY et al (2021) Assessment of socioeconomic inequality based on virus-contaminated water usage in developing countries: a review. Environ Res 192:110309

Article   CAS   PubMed   Google Scholar  

Aggarwal R (2011) Clinical presentation of hepatitis E. Virus Res 161(1):15–22. https://doi.org/10.1016/j.virusres.2011.03.017

Aggarwal R, Naik S (2009) Epidemiology of hepatitis E: current status. J Gastroenterol Hepatol 24(9):1484–1493. https://doi.org/10.1111/j.1440-1746.2009.05933.x

Article   PubMed   Google Scholar  

Ali A, Ahmed A, Gad A (2017) Chemical and microstructural analyses for heavy metals removal from water media by ceramic membrane filtration. Water Sci Technol 75(2):439–450. https://doi.org/10.2166/wst.2016.537

Ali SA, Ahmad A (2020) Analysing water-borne diseases susceptibility in Kolkata Municipal Corporation using WQI and GIS based Kriging interpolation. GeoJournal 85(4):1151–1174

Article   Google Scholar  

Annan E, Agyei-Tuffour B, Bensah YD, Konadu DS, Yaya A, Onwona-Agyeman B, Nyankson E (2018) Application of clay ceramics and nanotechnology in water treatment: a review. Cogent Eng 5(1):1476017

Anyango MJ (2019) Water, sanitation and hygiene practices as predictors of diarrhoea occurrence among school age children in Ganze Sub County, Kenya. 206

Azam A, Ahmed AS, Oves M, Khan MS, Habib SS, Memic A (2012) Antimicrobial activity of metal oxide nanoparticles against Gram-positive and Gram-negative bacteria: a comparative study. Int J Nanomed. https://doi.org/10.2147/IJN.S35347

Bitew BD, Gete YK, Biks GA, Adafrie TT (2018) The effect of SODIS water treatment intervention at the household level in reducing diarrheal incidence among children under 5 years of age: a cluster randomized controlled trial in Dabat district, northwest Ethiopia. Trials 19(1):412. https://doi.org/10.1186/s13063-018-2797-y

Article   PubMed   PubMed Central   Google Scholar  

Bosch A, Sánchez G, Abbaszadegan M, Carducci A, Guix S, Le Guyader FS, Netshikweta R, Pintó RM, van der Poel WHM, Rutjes S, Sano D, Taylor MB, van Zyl WB, Rodríguez-Lázaro D, Kovač K, Sellwood J (2011) Analytical methods for virus detection in water and food. Food Anal Methods 4(1):4–12. https://doi.org/10.1007/s12161-010-9161-5

Branz A, Levine M, Lehmann L, Bastable A, Ali SI, Kadir K, Yates T, Bloom D, Lantagne D (2017) Chlorination of drinking water in emergencies: a review of knowledge to develop recommendations for implementation and research needed. Waterlines 36(1):4–39. https://doi.org/10.3362/1756-3488.2017.002

Brockett S, Wolfe MK, Hamot A, Appiah GD, Mintz ED, Lantagne D (2020) Associations among water, sanitation, and hygiene, and food exposures and typhoid fever in Case-Control studies: a systematic review and meta-analysis. Am J Trop Med Hyg 103(3):1020

Bui XT, Nguyen PT, Nguyen VT, Dao TS, Nguyen PD (2020) Microplastics pollution in wastewater: characteristics, occurrence and removal technologies. Environ Technol Innov 19:101013

Bulta AL, Micheal GAW (2019) Evaluation of the efficiency of ceramic filters for water treatment in Kambata Tabaro zone, southern Ethiopia. Environ Syst Res 8(1):1. https://doi.org/10.1186/s40068-018-0129-6

Burleson G, Tilt B, Sharp K, MacCarty N (2019) Reinventing boiling: A rapid ethnographic and engineering evaluation of a high-efficiency thermal water treatment technology in Uganda. Energy Res Soc Sci 52:68–77

Charoenwat B, Suwannaying K, Paibool W, Laoaroon N, Sutra S, Thepsuthammarat K (2022) Burden and pattern of acute diarrhea in Thai children under 5 years of age: a 5-year descriptive analysis based on Thailand National Health Coverage (NHC) data. BMC Public Health 22(1):1–10. https://doi.org/10.1016/j.erss.2019.02.009

Diedrich A, Sivaganesan M, Willis JR, Sharifi A, Shanks OC (2023) Genetic fecal source identification in urban streams impacted by municipal separate storm sewer system discharges. PLoS ONE 18(1):e0278548

Article   CAS   PubMed   PubMed Central   Google Scholar  

El-Taweel GE, Ali GH (2000) Evaluation of roughing and slow sand filters for water treatment. Water Air Soil Pollut 120(8):21–28.

Article   ADS   CAS   Google Scholar  

Farrow C, McBean E, Huang G, Yang A, Wu Y, Liu Z, Li Y (2018) Ceramic water filters: a point-of-use water treatment technology to remove bacteria from drinking water in Longhai City, Fujian Province. China J Environ Inf 32(2):63–68

Google Scholar  

Ferreira DC, Graziele I, Marques RC, Gonçalves J (2021) Investment in drinking water and sanitation infrastructure and its impact on waterborne diseases dissemination: The Brazilian case. Sci Total Environ 779:146279. https://doi.org/10.1016/j.scitotenv.2021.146279

Article   ADS   CAS   PubMed   Google Scholar  

Fewtrell L, Kaufmann RB, Kay D, Enanoria W, Haller L, Colford JM (2005) Water, sanitation, and hygiene interventions to reduce diarrhoea in less developed countries: a systematic review and meta-analysis. Lancet Infect Dis 5(1):42–52. https://doi.org/10.1016/S1473-3099(04)01253-8

Foster MA, Hofmeister MG, Kupronis BA, Lin Y, Xia G-L, Yin S, Teshale E (2019) Increase in hepatitis A virus infections—United States, 2013–2018. MMWR Morb Mortal Weekly Rep 68(18):413–415. https://doi.org/10.15585/mmwr.mm6818a2

Gall AM, Mariñas BJ, Lu Y, Shisler JL (2015a) Waterborne viruses: a barrier to safe drinking water. PLoS Pathog 11(6):e1004867. https://doi.org/10.1371/journal.ppat.1004867

Gall AM, Shisler JL, Mariñas BJ (2015b) Analysis of the viral replication cycle of adenovirus serotype 2 after inactivation by free chlorine. Environ Sci Technol 49(7):4584–4590. https://doi.org/10.1021/acs.est.5b00301

Ghernaout D (2014) Coagulation and chlorination of NOM and algae in water treatment: a review. Int J Environ Monit Anal 2(6):23. https://doi.org/10.11648/j.ijema.s.2014020601.14

Ghernaout D (2017) Water treatment chlorination: an updated mechanistic insight review. Chem Res J 2:125–138

CAS   Google Scholar  

Gold K, Slay B, Knackstedt M, Gaharwar AK (2018) Antimicrobial activity of metal and metal-oxide based nanoparticles. Adv Ther 1(3):1700033. https://doi.org/10.1002/adtp.201700033

Article   CAS   Google Scholar  

Gullón P, Varela C, Martínez EV, Gómez-Barroso D (2017) Association between meteorological factors and hepatitis A in Spain 2010–2014. Environ Int 102:230–235. https://doi.org/10.1016/j.envint.2017.03.008

Gupta S, Satankar RK, Kaurwar A, Aravind U, Sharif M, Plappally A (2018) Household production of ceramic water filters in western Rajasthan, India. Int J Serv Learn Eng Humanit Eng Soc Entrep 13(1):53–66. https://doi.org/10.24908/ijsle.v13i1.11150

Gwenzi W, Sanganyado E (2019) Recurrent Cholera Outbreaks in Sub-Saharan Africa: moving beyond epidemiology to understand the environmental reservoirs and drivers. Challenges 10(1):1. https://doi.org/10.3390/challe10010001

Gwimbi P, George M, Ramphalile M (2019) Bacterial contamination of drinking water sources in rural villages of Mohale Basin, Lesotho: exposures through neighbourhood sanitation and hygiene practices. Environ Health Prev Med 24(1):33. https://doi.org/10.1186/s12199-019-0790-z

Haider MS, Shao G, Ahmad A, Imran SM, Abbas N, Abbas G, Hussain M, Kim HT (2019) Facile, single-pot preparation of nanoporous SiO 2 particles (carrier) with AgNPs at core and crust for controlled disinfectant release. J Saudi Chem Soc 23(7):828–835. https://doi.org/10.1016/j.jscs.2019.02.005

He Y, Ingudam S, Reed S, Gehring A, Strobaugh TP, Irwin P (2016) Study on the mechanism of antibacterial action of magnesium oxide nanoparticles against foodborne pathogens. J Nanobiotechnology 14(1):54. https://doi.org/10.1186/s12951-016-0202-0

Hoseinnejad M, Jafari SM, Katouzian I (2018) Inorganic and metal nanoparticles and their antimicrobial activity in food packaging applications. Crit Rev Microbiol 44(2):161–181. https://doi.org/10.1080/1040841X.2017.1332001

Ibrahim Y, Ouda M, Kadadou D, Banat F, Naddeo V, Alsafar H et al (2021) Detection and removal of waterborne enteric viruses from wastewater: a comprehensive review. J Environ Chem Eng 9(4):105613

Iwu CD, Okoh AI (2019) Preharvest transmission routes of fresh produce associated bacterial pathogens with outbreak potentials: a review. Int J Environ Res Public Health 16(22):4407

Javed A, Kabeer A (2018) Enhancing waterborne diseases in pakistan & their possible control. Am Acad Sci Res J Eng Technol Sci 49(1):248–256

Jeon I, Ryberg EC, Alvarez PJ, Kim JH (2022) Technology assessment of solar disinfection for drinking water treatment. Nat Sustain 5(9):801–808

Kallman EN, Oyanedel-Craver VA, Smith JA (2011) Ceramic filters impregnated with silver nanoparticles for point-of-use water treatment in rural Guatemala. J Environ Eng 137(6):407–415. https://doi.org/10.1061/(ASCE)EE.1943-7870.0000330

Kätzl K (2019) Anaerobic biochar filtration of municipal raw sewage for wastewater reuse (Doctoral dissertation, Ruhr-Universität Bochum)

Kiagho B, Machunda R, Hilonga A, Njau K (2016) Performance of water filters towards the removal of selected pollutants in Arusha, Tanzania. Tanzan J Sci 42(1):134–147

Kim JU, Ingiliz P, Shimakawa Y, Lemoine M (2021) Improving care of migrants is key for viral hepatitis elimination in Europe. Bull World Health Organ 99(4):280–286. https://doi.org/10.2471/BLT.20.260919

Khan A, Shams S, Khan S, Khan MI, Khan S, Ali A (2019) Evaluation of prevalence and risk factors associated with Cryptosporidium infection in rural population of district Buner, Pakistan. PLoS ONE 14(1):e0209188

Kumaravel V, Nair KM, Mathew S, Bartlett J, Kennedy JE, Manning HG et al (2021) Antimicrobial TiO 2 nanocomposite coatings for surfaces, dental and orthopaedic implants. Chem Eng J 416:129071

Landrigan PJ, Stegeman JJ, Fleming LE, Allemand D, Anderson DM, Backer LC, Rampal P (2020) Human health and ocean pollution. Ann Glob Health 86(1):151

Lantagne D, Klarman M, Mayer A, Preston K, Napotnik J, Jellison K (2010) Effect of production variables on microbiological removal in locally-produced ceramic filters for household water treatment. Int J Environ Health Res 20(3):171–187. https://doi.org/10.1080/09603120903440665

Lantagne D, Yates T (2018) Household water treatment and cholera control. J Infect Dis 218(suppl_3):S147–S153. https://doi.org/10.1093/infdis/jiy488

Lee EC, Kelly MR, Ochocki BM, Akinwumi SM, Hamre KES, Tien JH, Eisenberg MC (2017) Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity. J Theor Biol 420:68–81. https://doi.org/10.1016/j.jtbi.2017.01.032

Article   ADS   MathSciNet   PubMed   PubMed Central   MATH   Google Scholar  

Levy K, Smith SM, Carlton EJ (2018) Climate change impacts on waterborne diseases: moving toward designing interventions. Curr Environ Health Rep 5(2):272–282. https://doi.org/10.1007/s40572-018-0199-7

Li Y, Li J, Ding J, Song Z, Yang B, Zhang C, Guan B (2022) Degradation of nano-sized polystyrene plastics by ozonation or chlorination in drinking water disinfection processes. Chem Eng J 427:131690

Loomis D, Sobsey MD, Brown J (2008) Local drinking water filters reduce diarrheal disease in cambodia: a randomized, controlled trial of the ceramic water purifier. Am J Trop Med Hyg 79(3):394–400. https://doi.org/10.4269/ajtmh.2008.79.394

Loza K, Heggen M, Epple M (2020) Synthesis, structure, properties, and applications of bimetallic nanoparticles of noble metals. Adv Func Mater 30(21):1909260. https://doi.org/10.1002/adfm.201909260

Luby SP, Rahman M, Arnold BF, Unicomb L, Ashraf S, Winch PJ et al (2018) Effects of water quality, sanitation, handwashing, and nutritional interventions on diarrhoea and child growth in rural Bangladesh: a cluster randomised controlled trial. Lancet Global Health 6(3):e302–e315

Magana-Arachchi DN, Wanigatunge RP (2020) Ubiquitous waterborne pathogens. In: Waterborne pathogens, pp 15–42. Butterworth-Heinemann

Makvandi P, Wang C, Zare EN, Borzacchiello A, Niu L, Tay FR (2020) Metal-based nanomaterials in biomedical applications: antimicrobial activity and cytotoxicity aspects. Adv Func Mater 30(22):1910021. https://doi.org/10.1002/adfm.201910021

Manetu WM, Karanja AM (2021) Waterborne disease risk factors and intervention practices: a review. Oalib 08(05):1–11. https://doi.org/10.4236/oalib.1107401

McKee AM, Cruz MA (2021) Microbial and viral indicators of pathogens and human health risks from recreational exposure to waters impaired by fecal contamination. J Sustain Water Built Environ 7(2):03121001

Mohammed Sadiq I, Chandrasekaran N, Mukherjee A (2010) Studies on effect of TiO 2 nanoparticles on growth and membrane permeability of Escherichia coli , Pseudomonas aeruginosa , and Bacillus subtilis . Curr Nanosci 6(4):381–387. https://doi.org/10.2174/157341310791658973

Article   ADS   Google Scholar  

Montgomery MA, Elimelech M (2007) Water and sanitation in developing countries: including health in the equation. Environ Sci Technol 41(1):17–24. https://doi.org/10.1021/es072435t

Article   ADS   PubMed   Google Scholar  

Montufar Salcedo C (2018) Modification of the treatment protocol as a strategy in the control of the cholera epidemic in Haiti 2016–2017. Med Case Rep Rev 1(3):1–3

Mulugeta S, Helmreich B, Drewes JE, Nigussie A (2020) Consequences of fluctuating depth of filter media on coliform removal performance and effluent reuse opportunities of a bio-sand filter in municipal wastewater treatment. J Environ Chem Eng 8(5):104135. https://doi.org/10.1016/j.jece.2020.104135

Murei A, Mogane B, Mothiba DP, Mochware OTW, Sekgobela JM, Mudau M et al (2022) Barriers to water and sanitation safety plans in rural areas of South Africa—a case study in the Vhembe District, Limpopo Province. Water 14(8):1244

Mutuma BK, Shao GN, Kim WD, Kim HT (2015) Sol–gel synthesis of mesoporous anatase–brookite and anatase–brookite–rutile TiO 2 nanoparticles and their photocatalytic properties. J Colloid Interface Sci 442:1–7

Mwambete KD, Tairo VP (2018) Bacteriological quality of household drinking water and water disinfection practices in Kinondoni Municipality, Tanzania. Int J Health Sci 1:10

Nigay P-M, Salifu AA, Obayemi JD, White CE, Nzihou A, Soboyejo WO (2019) Ceramic water filters for the removal of bacterial, chemical, and viral contaminants. J Environ Eng 145(10):04019066. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001579

Norton DM, Rahman M, Shane AL, Hossain Z, Kulick RM, Bhuiyan MI, Wahed MA, Yunus M, Islam MS, Breiman RF, Henderson A, Keswick BH, Luby SP (2009) Flocculant-disinfectant point-of-use water treatment for reducing arsenic exposure in rural Bangladesh. Int J Environ Health Res 19(1):17–29. https://doi.org/10.1080/09603120802272219

Obafunmi T, Ocheme J, Gajere B (2020) Oligodynamic effect of precious metals on skin bacteria. Fudma J Sci 4(3):601–608. https://doi.org/10.33003/fjs-2020-0403-334

Okoh EO, Miner CA, Envuladu EA, Mohammed A, Ugochi J (2020) Effect of household water treatment on microbiological quality of drinking water in rural communities of Plateau State, Nigeria: a comparative study of two treatment modalities

Paliwal I (2021) Detection of Trichomonas vaginalis , Giardia and Cryptosporidium spp. in remote indigenous communities in Canada using a point-of-care device

Parham S, Wicaksono DHB, Bagherbaigi S, Lee SL, Nur H (2016) Antimicrobial treatment of different metal oxide nanoparticles: a critical review. J Chin Chem Soc 63(4):385–393. https://doi.org/10.1002/jccs.201500446

Peterson KM, Diedrich DE, Lavigne DJ (2008) Strategies for combating waterborne diarrheal diseases in the developing world, 39.

Praveena SM, Aris AZ (2015) Application of low-cost materials coated with silver nanoparticle as water filter in Escherichia coli removal. Water Qual Expo Health 7(4):617–625. https://doi.org/10.1007/s12403-015-0167-5

Quang DV, Sarawade PB, Hilonga A, Kim J-K, Shim YH, Shao GN, Kim HT (2012) Synthesis of silver nanoparticles within the pores of functionalized-free silica beads: the effect of pore size and porous structure. Mater Lett 68:350–353. https://doi.org/10.1016/j.matlet.2011.10.073

Raghunath A, Perumal E (2017) Metal oxide nanoparticles as antimicrobial agents: a promise for the future. Int J Antimicrob Agents 49(2):137–152. https://doi.org/10.1016/j.ijantimicag.2016.11.011

Rayner J, Luo X, Schubert J, Lennon P, Jellison K, Lantagne D (2017) The effects of input materials on ceramic water filter efficacy for household drinking water treatment. Water Supply 17(3):859–869. https://doi.org/10.2166/ws.2016.176

Reece SM, Sinha A, Grieshop AP (2017) Primary and photochemically aged aerosol emissions from biomass cookstoves: chemical and physical characterization. Environ Sci Technol 51(16):9379–9390.

Rehman AU, Nazir S, Irshad R, Tahir K, ur Rehman K, Islam RU, Wahab Z (2021) Toxicity of heavy metals in plants and animals and their uptake by magnetic iron oxide nanoparticles. J Mol Liq 321:114455

Sawai J, Himizu K, Yamamoto O (2005) Kinetics of bacterial death by heated dolomite powder slurry. Soil Biol Biochem 37(8):1484–1489. https://doi.org/10.1016/j.soilbio.2005.01.011

Shailemo DHP, Kwaambwa HM, Kandawa-Schulz M, Msagati TAM (2016) Antibacterial activity of Moringa ovalifolia and Moringa oleifera methanol, N-hexane and water seeds and bark extracts against pathogens that are implicated in water borne diseases. Green Sustain Chem 06(02):71–77. https://doi.org/10.4236/gsc.2016.62006

Shao GN, Engole M, Imran SM, Jeon SJ, Kim HT (2015) Sol–gel synthesis of photoactive kaolinite-titania: effect of the preparation method and their photocatalytic properties. Appl Surf Sci 331:98–107. https://doi.org/10.1016/j.apsusc.2014.12.199

Shao GN, Imran SM, Jeon SJ, Engole M, Abbas N, Salman Haider M, Kang SJ, Kim HT (2014) Sol–gel synthesis of photoactive zirconia–titania from metal salts and investigation of their photocatalytic properties in the photodegradation of methylene blue. Powder Technol 258:99–109. https://doi.org/10.1016/j.powtec.2014.03.024

Sobsey MD, Brown J (2012) Boiling as household water treatment in Cambodia: a longitudinal study of boiling practice and microbiological effectiveness. Am J Trop Med Hyg 87(3):394–398. https://doi.org/10.4269/ajtmh.2012.11-0715

Syafrudin M, Kristanti RA, Yuniarto A, Hadibarata T, Rhee J, Al-onazi WA, Algarni TS, Almarri AH, Al-Mohaimeed AM (2021) Pesticides in drinking water—a review. Int J Environ Res Public Health 18(2):468. https://doi.org/10.3390/ijerph18020468

Thill A, Zeyons O, Spalla O, Chauvat F, Rose J, Auffan M, Flank AM (2006) Cytotoxicity of CeO 2 nanoparticles for Escherichia coli . physico-chemical insight of the cytotoxicity mechanism. Environ Sci Technol 40(19):6151–6156. https://doi.org/10.1021/es060999b

Tsao NH, Malatesta KA, Anuku NE, Soboyejo WO (2015) Virus filtration in porous iron (III) oxide doped ceramic water filters. Adv Mater Res 1132:284–294. https://doi.org/10.4028/www.scientific.net/AMR.1132.284

Ubomba-Jaswa E, Navntoft C, Polo-López MI, Fernandez-Ibáñez P, McGuigan KG (2009) Solar disinfection of drinking water (SODIS): an investigation of the effect of UV-A dose on inactivation efficiency. Photochem Photobiol Sci 8(5):587. https://doi.org/10.1039/b816593a

UN (2019) The United Nations world water development report 2019: leaving no one behind

Vargas-Reus MA, Memarzadeh K, Huang J, Ren GG, Allaker RP (2012) Antimicrobial activity of nanoparticulate metal oxides against peri-implantitis pathogens. Int J Antimicrob Agents 40(2):135–139. https://doi.org/10.1016/j.ijantimicag.2012.04.012

Vega-Jiménez AL, Vázquez-Olmos AR, Acosta-Gío E, Álvarez-Pérez MA (2019) In vitro antimicrobial activity evaluation of metal oxide nanoparticles. Nanoemulsions Prop Fabr Appl 78812(2):1–18

Verma S, Daverey A, Sharma A (2017) Slow sand filtration for water and wastewater treatment—a review. Environ Technol Rev 6(1):47–58

Waddington H, Snilstveit B (2009) Effectiveness and sustainability of water, sanitation, and hygiene interventions in combating diarrhoea. J Dev Eff 1(3):295–335. https://doi.org/10.1080/19439340903141175

Wang Z, Lee Y-H, Wu B, Horst A, Kang Y, Tang YJ, Chen D-R (2010) Anti-microbial activities of aerosolized transition metal oxide nanoparticles. Chemosphere 80(5):525–529. https://doi.org/10.1016/j.chemosphere.2010.04.047

Wen X, Chen F, Lin Y, Zhu H, Yuan F, Kuang D et al (2020) Microbial indicators and their use for monitoring drinking water quality—a review. Sustainability 12(6):2249

Weststrate J, Dijkstra G, Eshuis J, Gianoli A, Rusca M (2019) The sustainable development goal on water and sanitation: learning from the millennium development goals. Soc Indic Res 143:795–810

World Health Organization (2006) Guidelines for drinking-water quality: First addendum to the third edition, volume 1: recommendations

World Health Organization (2022) Guidelines for drinking‑water quality: Fourth edition incorporating the first and second addenda (4th ed + 1st add + 2nd add). World Health Organization. https://apps.who.int/iris/handle/10665/352532

World Health Organization (2020) State of the world’s sanitation: an urgent call to transform sanitation for better health, environments, economies and societies

Yekta R, Vahid-Dastjerdi L, Norouzbeigi S, Mortazavian AM (2021) Food products as potential carriers of SARS-CoV-2. Food Control 123:107754

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Shayo, G.M., Elimbinzi, E., Shao, G.N. et al. Severity of waterborne diseases in developing countries and the effectiveness of ceramic filters for improving water quality. Bull Natl Res Cent 47 , 113 (2023). https://doi.org/10.1186/s42269-023-01088-9

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research article on water borne diseases

Semenza, J. C. et al. Transbound. Emerg. Dis. 66 , 1855–1863 (2019).

Article   Google Scholar  

Semenza, J. C. & Menne, B. Lancet Infect. Dis. 9 , 365–375 (2009).

IPCC. Special Report on Global Warming of 1 .5 °C (eds Masson-Delmotte, V. P. et al.) (WMO, 2018).

Suk, J. E., Vaughan, E. C., Cook, R. G. & Semenza, J. C. Eur. J. Public Health https://doi.org/10.1093/eurpub/ckz111 (2019).

Guzman Herrador, B. R. et al. Environ. Health 14 , 29 (2015).

Levy, K., Woster, A. P., Goldstein, R. S. & Carlton, E. J. Environ. Sci. Technol. 50 , 4905–4922 (2016).

Article   CAS   Google Scholar  

Lo Iacono, G. et al. PLoS Negl. Trop. Dis. 11 , e0005659 (2017).

Semenza, J. C. et al. Crit. Rev. Environ. Sci. Technol. 42 , 857–890 (2012).

Curriero, F. C., Patz, J. A., Rose, J. B. & Lele, S. Am. J. Public Health 91 , 1194–1199 (2001).

Guzman Herrador, B. R. et al. J. Water Health 14 , 1019–1027 (2016).

Thomas, K. M. et al. Int. J. Environ. Health Res. 16 , 167–180 (2006).

Nichols, G., Lane, C., Asgari, N., Verlander, N. Q. & Charlett, A. J. Water Health 7 , 1–8 (2009).

Semenza, J. C. & Nichols, G. Euro Surveill. 12 , E13-4 (2007).

Sterk, A., Schijven, J., de Roda Husman, A. M. & de Nijs, T. Water Res. 95 , 90–102 (2016).

Adkins, H. J. et al. J. Clin. Microbiol. 25 , 1143–1147 (1987).

Dewan, A. M., Corner, R., Hashizume, M. & Ongee, E. T. PLoS Negl. Trop. Dis. 7 , e1998 (2013).

Desai, S. et al. Clin. Infect. Dis. 48 , 691–697 (2009).

Kelley, C. P., Mohtadi, S., Cane, M. A., Seager, R. & Kushnir, Y. Proc. Natl Acad. Sci. USA 112 , 3241–3246 (2015).

Singh, R. B. et al. Environ. Health Perspect. 109 , 155–159 (2001).

Effler, E. et al. Emerg. Infect. Dis. 7 , 812–819 (2001).

Schijven, J. et al. Risk Anal. 33 , 2154–2167 (2013).

Shapiro, R. S. & Cowen, L. E. MBio 3 , e00238–12 (2012).

Cherrie, M. P. C. et al. BMC Public Health 18 , 1067 (2018).

Lake, I. R. Environ. Health 16 (Suppl. 1), 117 (2017).

Yun, J. et al. Sci. Rep. 6 , 28442 (2016).

Hume, R., Berndt, K. D., Normark, S. J. & Rhen, M. Cell 90 , 55–64 (1997).

Djennad, A. et al. BMC Infect. Dis. 19 , 255 (2019).

Lake, I. R. et al. Euro Surveill. 24 , 180028 (2019).

Baker-Austin, C. et al. Emerg. Infect. Dis. 22 , 1216–1220 (2016).

Semenza, J. C. et al. Environ. Health Perspect. 125 , 107004 (2017).

Damania, R. et al. Uncharted Waters : The New Economics of Water Scarcity and Variability (World Bank, 2017).

European Centre for Disease Prevention and Control. Vibrio map viewer. E3 Geoportal https://e3geoportal.ecdc.europa.eu/SitePages/Vibrio%20Map%20Viewer.aspx (2020).

Download references

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I would like to thank J. Takkinen and M. Catchpole at the European Centre for Disease Prevention and Control for critical feedback on the manuscript. The views and opinions expressed herein are the author’s own and do not necessarily state or reflect those of the ECDC. The ECDC is not responsible for the data and information collation and analysis and cannot be held liable for conclusions or opinions drawn.

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Research Article

Global Distribution of Outbreaks of Water-Associated Infectious Diseases

Affiliations College of Public Health, The Ohio State University, Columbus, Ohio, United States of America, Department of Schistosomiasis, Jiangsu Institute of Parasitic Diseases, Wuxi, People's Republic of China

Affiliation Ohio Agricultural Research and Development Center, Wooster, Ohio, United States of America

Affiliation School of Earth Sciences, The Ohio State University, Columbus, Ohio, United States of America

Affiliation College of Public Health, The Ohio State University, Columbus, Ohio, United States of America

* E-mail: [email protected]

  • Kun Yang, 
  • Jeffrey LeJeune, 
  • Doug Alsdorf, 
  • Bo Lu, 
  • C. K. Shum, 

PLOS

  • Published: February 14, 2012
  • https://doi.org/10.1371/journal.pntd.0001483
  • Reader Comments

Figure 1

Water plays an important role in the transmission of many infectious diseases, which pose a great burden on global public health. However, the global distribution of these water-associated infectious diseases and underlying factors remain largely unexplored.

Methods and Findings

Based on the Global Infectious Disease and Epidemiology Network (GIDEON), a global database including water-associated pathogens and diseases was developed. In this study, reported outbreak events associated with corresponding water-associated infectious diseases from 1991 to 2008 were extracted from the database. The location of each reported outbreak event was identified and geocoded into a GIS database. Also collected in the GIS database included geo-referenced socio-environmental information including population density (2000), annual accumulated temperature, surface water area, and average annual precipitation. Poisson models with Bayesian inference were developed to explore the association between these socio-environmental factors and distribution of the reported outbreak events. Based on model predictions a global relative risk map was generated. A total of 1,428 reported outbreak events were retrieved from the database. The analysis suggested that outbreaks of water-associated diseases are significantly correlated with socio-environmental factors. Population density is a significant risk factor for all categories of reported outbreaks of water-associated diseases; water-related diseases (e.g., vector-borne diseases) are associated with accumulated temperature; water-washed diseases (e.g., conjunctivitis) are inversely related to surface water area; both water-borne and water-related diseases are inversely related to average annual rainfall. Based on the model predictions, “hotspots” of risks for all categories of water-associated diseases were explored.

Conclusions

At the global scale, water-associated infectious diseases are significantly correlated with socio-environmental factors, impacting all regions which are affected disproportionately by different categories of water-associated infectious diseases.

Author Summary

Water is essential for maintaining life on Earth but can also serve as a media for many pathogenic organisms, causing a high disease burden globally. However, how the global distribution of water-associated infectious pathogens/diseases looks like and how such distribution is related to possible social and environmental factors remain largely unknown. In this study, we compiled a database on distribution, biology, and epidemiology of water-associated infectious diseases and collected data on population density, annual accumulated temperature, surface water areas, average annual precipitation, and per capita GDP at the global scale. From the database we extracted reported outbreak events from 1991 to 2008 and developed models to explore the association between the distribution of these outbreaks and social and environmental factors. A total of1,428 outbreaks had been reported and this number only reflected ‘the tip of the iceberg’ of the much bigger problem. We found that the outbreaks of water-associated infectious diseases are significantly correlated with social and environmental factors and that all regions are affected disproportionately by different categories of diseases. Relative risk maps are generated to show ‘hotspots’ of risks for different diseases. Despite certain limitations, the findings may be instrumental for future studies and prioritizing health resources.

Citation: Yang K, LeJeune J, Alsdorf D, Lu B, Shum CK, Liang S (2012) Global Distribution of Outbreaks of Water-Associated Infectious Diseases. PLoS Negl Trop Dis 6(2): e1483. https://doi.org/10.1371/journal.pntd.0001483

Editor: Simon Brooker, London School of Hygiene & Tropical Medicine, United Kingdom

Received: April 13, 2011; Accepted: November 30, 2011; Published: February 14, 2012

Copyright: © 2012 Yang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: This work is supported in part by NIH/NIAID (grant no. R01AI068854) and by the pilot research program by the Climate, Water, Carbon program and Public Health Preparedness of Infectious Diseases (PHPID) of the Ohio State University. SL is thankful for the support from International Gateway Research Grant sponsored by Office of International Affairs (OIA) of the Ohio State University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Although substantial advances in biomedical sciences and public health measures have facilitated control of many infectious diseases in the past century, the world has witnessed an increasing incidence and geographical expansion of emerging and re-emerging infectious diseases [1] , which, together with some other old ones, remain among the leading causes of deaths and disability worldwide [2] , [3] . The global environmental, ecological, and socio-economic changes have a significant impact on the distribution, emergence and re-emergence of infectious diseases and are expected to continue to influence such trend [1] , [4] , [5] , [6] , [7] , [8] , [9] . Some recent studies at both global and regional scales have suggested that climatic factors, human movement, and agricultural practices are important factors underlying the distribution, emergence, and re-emergence of infectious diseases [1] , [6] , [10] .

Water is essential for maintaining life on Earth. Meanwhile, water can also serve as a media for hazardous substances and pathogenic organisms, posing substantial health threats to humans through a variety of pathways. During the past few decades, human development, population growth, extreme weather events, natural calamities, and climate change have exerted many diverse pressures on both the quality and quantity of water resources which may in turn impact conditions fostering water-associated diseases. Worldwide, water-associated infectious diseases are a major cause of morbidity and mortality [11] , [12] , [13] . A conservative estimate indicated that 4.0% of global deaths and 5.7% of the global disease burden (in DALYs) were attributable to a small subset of water, sanitation, and hygiene (WSH) related infectious diseases including diarrheal diseases, schistosomiasis, trachoma, ascariasis, trichuriasis, and hookworm infections [11] , [14] , [15] . Although unknown, the actual disease burden attributable to water-associated pathogens is expected to be much higher. A total of 1415 species of microorganisms have been reported to be pathogenic, among which approximately 348 are water-associated, causing 115 infectious diseases [5] .Yet, their distribution and associated factors at the global scale remain largely unexplored.

Although the linkage between the hydrological cycle and infectious diseases has long been recognized, the underlying mechanisms shaping this relationship at global and regional scales are rarely characterized. Recent developments in hydrology and geo-spatial technology, and increasing availability of spatial socio-environmental information provide an opportunity to explore this issue. Geospatial techniques (e.g. Geographic Information System, or GIS, and spatial analytical techniques) offer a means for developing and organizing spatially explicit information. For example, the availability of information on terrestrial surface water area from the Global Lakes and Wetland Database [16] , could allow the exploration of the possible relationship between the availability of terrestrial surface water and distribution of water-associated diseases at the global scale.

In this study, a comprehensive database has been developed for global water-associated infectious pathogens and diseases and socio-environmental information which have been integrated into a GIS database. The overall goal of our study is to explore the possible relationship between global distribution of water-associated infectious diseases and socio-environmental factors. In this study reported outbreaks of water-associated diseases were chosen as the study subject as they were available in the developed database and provided semiquantitative information (e.g. yes or no, and frequency of outbreaks). Our specific aims in this study were to describe the global distribution of reported outbreaks caused by water-associated infectious diseases from 1991 to 2008, to explore potential risk factors associated with spatio-temporal distributions of these outbreaks, and to develop a global risk map for these diseases.

1. Disease database development

Primary source of information on water-associated pathogens and infectious diseases for the database developed in present study was based on the Global Infectious Disease and Epidemiology Network (GIDEON), a subscription- and web-based comprehensive global infectious diseases database which provides extensive geographical and epidemiological information including outbreaks for 337 recognized infectious diseases in 231 countries and regions. Data in GIDEON are collated through a system of computer macros and dedicated source lists developed over the past 15 years. A monthly search of Medline is conducted against a list of GIDEON key words (similar to Mesh terms in PubMed), and titles/abstracts of interest are reviewed. In addition, all standard publications of WHO and CDC are scanned for relevance before they are collated and entered into GIDEON. The GIDEON infectious diseases database provides a chronological listing of all reported outbreaks of infectious diseases, which are listed by year and country, with specific location information available for the majority of reported outbreaks. For those without specific location information, original publications or reports were searched to extract the information. To assess GIDEON's completeness on the reported outbreaks, a systematic search based on PubMed, ISI Web of Knowledge, WHO and CDC reports was conducted on reported outbreaks (1991–2008) for 10 randomly chosen water-associated diseases. Search terms included names of specific pathogen(s)/disease(s) and country/region, “outbreak”, “epidemic”, and “epidemics”, respectively. Chi-square test was performed to compare results from the independent search vs. that from GIDEON – our results were largely in agreement with that from GIDEON ( X 2  = 591.2, P <0.001). Based on the database developed, water-associated diseases and their corresponding causal agents were systematically reviewed, together with extensive literature review for relevant environmental, biological, and epidemiologic characteristics. For each disease, the following information was included in the database we developed.

  • Taxonomic group of causative agents. Five general groups were included - bacteria (including rickettsia), virus (including prions), fungi, protozoa, and helminthes (including cestodes, nematodes, trematodes and acanthocephalans).
  • Water mediation of the disease transmission. Following a general framework on the classification of water-associated infectious disease [17] , each disease was classified into one of the following five categories: water-borne, water-based, water-related, water-washed, and water-dispersed. Water-borne diseases, such as typhoid and cholera, are typically caused by enteric microorganisms, which enter water sources through fecal contamination and cause infections in humans through ingestion of contaminated water. To account for water-borne pathogens (e.g. Cryptosporidium, Giardia ) whose transmission can be through accidental ingestion of, or exposure to, contaminated water in recreational settings (for example), we identified outbreaks caused by this transmission pathway and included them in “water-carried diseases”, a sub-group of water-borne diseases by following Steiner et al. [21] ; water-based diseases commonly refer to diseases caused by infections of worms which must spend parts of their life cycles in the aquatic environment, such as schistosomiasis; water-related diseases, such as malaria and trypanosomiasis, need water for breeding of insect vectors to fulfill the transmission cycle; water-washed diseases are those whose transmission is due to poor personal and/or domestic hygiene as a result of lack of appropriate water; and finally, water-dispersed diseases are caused by infections of agents which proliferate in fresh water and enter the human body through the respiratory tract, such as Legionella .
  • Transmission routes. Based on the process and nature of transmission, each disease was assigned to one of the four primary transmission groups following the framework by Eisenberg et al. [4] : directly transmitted, vector-borne , environmentally-mediated, and zoonotic. The directly transmitted diseases are those primarily caused by pathogens transmitted via person-to-person contact, where “contact” between humans is the principle mode of transmission, either through intimate proximity (e.g. droplet spray) or bodily fluid exchange. In this group, humans are the only host and the environment typically does not serve as reservoir for the pathogens. Vector-borne diseases are caused by pathogens which are carried by vectors (e.g. mosquitoes) and transmitted to humans through biting. For environmentally-mediated diseases, the environment (e.g., food, water and soil) plays a significant role in a pathogen's life cycle and transmission occurs between humans and the environment directly or indirectly. The zoonotic transmission diseases are diseases that are naturally transmitted between vertebrates and humans. For diseases which may have more than one transmission route, their primary transmission route was used in the database.
  • Outbreak events and emergence/re-emergence of water-associated infectious diseases. In the database an outbreak was defined as an increase in cases of disease above what was normally expected in that population in that area and a reported outbreak referred to an outbreak that was reported. Reported outbreaks of water-associated diseases between 1991 and 2008 were extracted from the database. For each outbreak, information including the causal agent, time, and location of the outbreak was extracted from the database. Most of the reported outbreaks had location information (e.g. villages, counties, or cities where the outbreaks took place). For those without location documented in the database (GIDEON), original publications or reports were checked to retrieve outbreak locations. For reported outbreaks, the spatial scales of reports obtained were on the order of municipality/county or smaller. Based on centroid points of geographical areas (e.g., village, county, or city) where outbreaks were reported, the outbreaks were positioned in Google Earth® and corresponding longitudinal and latitudinal information were extrapolated to ArcGIS (9.2) for grid-based (one degree) analyses described below. For causal agents of the outbreaks, they were also characterized as either emerging/re-emerging or non-emerging pathogen(s) by following the criteria previously defined [5] .

2. Socio-environmental database

The database included the following information - grid-based global human population density (per km 2 ) based on the 2000 global population dataset, which was developed by Socioeconomic Data and Applications Center (SEDAC) of Columbia University between 2003 and 2005, providing globally consistent and spatially explicit human population information ( http://sedac.ciesin.columbia.edu/gpw/ ); global average accumulated temperature (degree days, with a spatial resolution of 0.5 degree) for the period between 1961 and1990 from United Nation Environmental Protection( http://www.unep.org/ ), which was based on the degree that the temperature rose above zero degree and the number of days in the period during which this excess was maintained [18] ; surface area (km 2 ) of water bodies including large lakes , rivers, and wetland, collected from the global lakes and wetlands database ( http://www.worldwildlife.org/ ); the average rainfall (mm) per year for the period between 1961 and1990 from FAO ( http://www.fao.org ); and per capita Gross Domestic Product (GDP) which was based on each a country's GDP divided by the total number of people in the country ( http://sedac.ciesin.columbia.edu/ddc/baseline/ ). The scale of all information collected was converted to one-degree grid in the GIS database.

3. Statistical analyses

Controlling for reporting bias..

Primary source of information on reported outbreak events was from GIDEON, which is based on peer-reviewed publications and reports of governmental and international agencies (e.g. CDC and WHO), and considered comprehensive. However, as long being recognized, underreporting of infectious disease outbreaks widely exists, depending on a number of factors such as a country's socio-economic status and investment of research resources. For instance, outbreak events are more likely to be reported in developed countries than in developing countries due to greater availability of resources in the former, which may cause reporting bias [19] . To account for the potential bias, reporting efforts for each country were quantified by estimating published articles specifically related to each country from 1991 to 2008 following Jones et al.'s approach [1] . Using PubMed, “infectious disease” and “country name” were used as keywords in the search of publications to approximate the reporting efforts for each country. Figure 1 shows the global trend in the number of publications on infectious diseases and reported outbreaks of water-associated infectious diseases from 1991 to 2008, suggesting a strong correlation between the outbreak events and publications. In the analysis, the number of publications for each country (e.g. grid cells within each country having the same number) was set as an offset variable to control for reporting bias [1] .

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Shown are the global trends in the number of publications on infectious disease and reported outbreaks of water-associated infectious diseases from 1991 to 2008 (Pearson correlation - 0.935, P<0.001 ).

https://doi.org/10.1371/journal.pntd.0001483.g001

Descriptive/exploratory analysis.

Basic characteristics (e.g. taxonomy and transmission routes) of causal agents associated with the outbreak events were summarized. Temporal trend of outbreak events in relation to the number of publications was tested. Exploratory analysis was conducted using a multivariable logistic regression to control for co-variability between independent variables, with the presence/absence of outbreak events as the dependent variable and all factors including the reporting effort by each country as independent variables. Correlation analyses were conducted for socio-economic variables including population density, global accumulated temperature, per capita GDP. The variables of statistical significance in the correlation analyses were included in the Bayesian analysis described below. All analyses were performed using SPSS (SPSS Inc., USA).

Bayesian analysis.

research article on water borne diseases

Risk predictions and mapping.

research article on water borne diseases

A total of 1,428 outbreak events had been reported from 1991 to 2008. Outbreaks occurred all over the world and the clusters of reported outbreaks tended to be in west Europe, central Africa, north India and Southeast Asia ( Figure 2 ). Among the reported outbreak events, 70.9% (1,012) were associated with water-borne diseases including 32.9% (471) water-carried, 12.2% (174) water-related, 6.8% (97) water-washed, 2.9% (41) water-based, and 7.3% (104) water-dispersed. 46.7% (667) of the outbreak events were associated with emerging or reemerging pathogens, which appeared in humans for the first time or had occurred previously but were increasing in incidence or expanding into areas where they had not previously been reported [5] . It is found that 49.6% (709) of the outbreak events was caused by bacteria, 39.3% (561) by viruses, and 11.1% (158) by parasites. 6.5% (93) of the outbreak events was caused by agents that could be transmitted by direct contact, 1.1% (16) transmitted through vectors, 63.5% (907) through environmental transmission, and 28.9% (412) by zoonotic routes.

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https://doi.org/10.1371/journal.pntd.0001483.g002

The reported outbreak events had shown a significant increase since 1991, which had been accompanied by a significant increase in the number of published articles ( Figure 1 , Pearson correlation - 0.935, P<0.001 ). We used a generalized linear model to test the temporal trend in the outbreak events and found it insignificant (t = 0.046, P = 0.940 ) after controlling for the publication efforts. The number of published articles was therefore used as a covariate in the subsequent statistical analyses.

Table 1 summarizes analyses of the Poisson models without and with spatially structured random effects using Bayesian inference for the five categories of water-associated diseases. The DIC values of the Poisson model with spatial random effects are smaller than that without spatial structure, suggesting that the spatial models provided a better fit to the data. The Poisson models with spatial structure were therefore used for risk factor analysis and mapping.

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https://doi.org/10.1371/journal.pntd.0001483.t001

The population density was shown to be a significant risk factor for reported outbreaks of all categories of water-associated infectious diseases and the probability of outbreak occurrence increased with the population density. The accumulated temperature was a significant risk factor for water-related diseases only. The analysis suggested that occurrence of water-washed diseases had significantly inverse relationship with surface water areas. Such inverse relationship was also observed between the average annual rainfall and water-borne diseases (including water-carried) and water-related diseases.

Figure 3 (A–F) shows the risk distribution based on the model predictions with the blue indicating lower risk while the red representing higher risk. The model predictions suggested that west Europe, central Africa, north India were at the higher risk for water-borne diseases (e.g. Escherichia coli diarrhea), and notably, that the higher risk for water-borne diseases in west Europe was primarily driven by water-carried diseases (e.g. cryptosporidiosis). West Europe, North Africa, and Latin America tended to be at higher risk to water-washed diseases (e.g. viral conjunctivitis). Risks associated with water-based diseases (e.g. schistosomiasis) were higher in east Brazil, northwest Africa, central Africa, and southeast of China. High risk areas for water-related diseases (e.g. malaria and dengue fever) were clustered in central Africa in particular Ethiopia and Kenya, and north India. For water-dispersed diseases (e.g. Legionellosis), west Europe seemed to be at higher risk.

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Shown are relative risk distributions for different categories of water-associated infectious diseases – water-borne (A), water-carried (B), water-based (C), water-related (D), water-washed (E), and water-dispersed (F). Relative risk estimate was based on the best fit Bayesian model integrating reported outbreaks, random and spatial effects.

https://doi.org/10.1371/journal.pntd.0001483.g003

In the past decade there has been an increasing interest in understanding factors underlying the distribution of infectious pathogens, emerging and re-emerging infectious diseases. Some recent research efforts have been in attempt to determine large-scale ecological factors associated with diversity richness and distribution of infectious and parasitic pathogens [6] , socio-environmental determinants of emerging infectious disease [1] , and to explore the impact of global environmental change on distribution and spread of infectious diseases [23] , [24] . These studies have offered valuable insights into understanding socio-environmental processes and factors underlying the distribution of infectious diseases. In this study, we focused our attention on water-associated infectious diseases and attempted to explore whether these diseases follow similar patterns observed in other studies [1] , [6] , and whether the distribution and occurrence of these diseases were related to terrestrial water dynamics (e.g. precipitation and land-surface water) together with other socio-environmental factors. The transmission of many infectious diseases is closely linked to water and the water-infectious pathogen interactions exhibit a complicated relationship depending on the transmission characteristics of the pathogens and water's roles in the transmission. The study showed that water-associated infectious diseases and outbreaks were broadly distributed throughout the world but the distribution of specific agents/diseases varied greatly from region to region. The majority of reported outbreaks events were associated with water-borne pathogen including those water-carried. Water-borne diseases have a much broader distribution than other water-associated diseases, suggesting a broader impact of waterborne pathogens in particular those related to fecal-oral route and water, sanitation, and hygiene. In addition to water, other environmental factors have also been recognized to play a significant role in the distribution, transmission, and outbreaks of these water-associated diseases [25] , [26] , [27] .

It should be noted that, though, the outbreaks reported here only reflected “the tip of the iceberg” of the much larger problem. A complete count of outbreaks attributable to water-associated pathogens is impossible as underreporting is a universal problem, and reporting efforts and effectiveness may vary from country to country, and pathogens to pathogens, depending on many factors particularly availability of research and surveillance resources, and epidemiological characteristics of causal agents. In developing countries, outbreaks of many vector-borne infectious diseases such as dengue and malaria [28] , [29] and gastrointestinal infections [30] were grossly underreported, partly due to their endemic characteristics. Even in the US, reporting completeness of notifiable infectious diseases varied from 9% to 99%, and was strongly associated with diseases being reported [31] . In general, water-borne pathogens usually exhibit acute manifestations and are more likely to be reported [32] . In contrast, other diseases such as water-based schistosomiasis, a disease of chronic infections and atypical symptoms, are more likely to be underreported. In this study, the primary source of outbreak information was from GIDEON, which is the most comprehensive database on infectious diseases and offers detailed information on epidemiology including distributions and outbreaks of infectious diseases for more than 205 countries and regions, as well as clinical manifestations and treatment associated with each disease [23] , [33] . As expected, GIDEON does not include all outbreak information due to underreporting of outbreak events, but we believe that information from GIDEON is representative and provides an overview of available and recognized outbreak data, as argued by some other studies [23] , [33] .

The distribution of water-associated diseases, like many other infectious diseases, is highly heterogeneous. The spatial structure associated with the distribution of the outbreaks may be important in understanding underlying risk factors. To explore possible associations between socio-environmental factors and the outbreaks at the global scale, two Poisson models (without and with spatial structures) were developed. Among the two models explored, the one incorporating spatial effects provided a better fit to the data. Our findings suggested that the importance of these socio-environmental variables was dependent on the category of water-associated diseases. Human population density was a common significant risk factor for the outbreaks caused by all categories of water-associated diseases, in concurrence with the previous study suggesting that human population was an important predictor of emerging infectious diseases event at the global scale [1] . The accumulated temperature was a significant factor associated with water-related diseases, which was in agreement with many other studies [34] , [35] , [36] , [37] . The transmission of diseases in this category typically involves vectors (e.g. mosquitoes) which require certain energy level (e.g. accumulated temperature) allowing completion of development of vectors and pathogens [10] , [38] , [39] . In this study, terrestrial surface water area (at each grid-region) was found to be inversely proportional to the outbreak events associated with water-washed diseases such as trachoma. The primary determinant of water-washed diseases is poor personal and/or domestic hygiene typically due to insufficient sanitary water for hygienic purpose, and this has been reported in many site-specific studies [40] , [41] , [42] . Our result from a large-scale correlation study supported these points of the previous studies, suggesting that regional water availability may be indicative of local water availability which is closely linked to personal and domestic hygiene. Our analysis indicated a negative relationship between average annual rainfall and water-related diseases, in contrast with some previous studies showing that some outbreaks of water-related diseases are positively associated with heavy rainfall events [8] , [43] , [44] , [45] . This can be partly explained by issues related to scale and timing effects – the majority of studies reporting positive relationship between precipitation and waterborne illness was conducted at local scale and typically time-lag effects were considered. Indeed, the rainfall and water-related diseases exhibit complex relationships as shown in previous studies, and many rainfall-driven transmission and outbreaks were dependent on local circumstances. In addition to rainfall, multiple and covarying drivers have also been proposed for seasonal pattern of transmission and outbreaks of many water-associated diseases, including temperature, host demographic and biological characteristics [46] , [47] , [48] . However, due to lack of global information on seasonal patterns of outbreaks and the driving factors, temporal heterogeneity of outbreaks events, such as seasonality discussed here, was not included in the present study.

Using the best-fitted models we predicted global distributions of relative risks associated with each category of water-related infectious diseases, as shown in Figure 3 . Surprisingly, the risk maps show that west Europe and central Africa were all at relatively higher risk for water-borne diseases. A closer look at pathogens associated with the reported outbreaks indicated different dominant species in the two regions – in Africa reports of water-borne outbreaks were primarily associated with Vibrio cholerae , whereas in west Europe giardia, cryptosporidium were common in the water-borne outbreaks, with the latter being particularly related to accidental ingestions of contaminated water (e.g. in recreational settings) and, to some extent, mixed with infections of food-borne sources [49] , [50] , [51] .

Some limitations of the current study are recognized. Although possible reporting bias was adjusted for using publications for each country, the analysis may have missed countries/regions with outbreaks but no publications and/or reports. Second, only a few socio-environmental factors were considered in the present study and it is likely that some other factors might be associated with the outbreaks. In addition, significant prediction uncertainties were noted throughout the outbreak countries and regions, this was partly due to the temporal correlation of the outbreak events which was not considered in the analysis. The addition of such information (e.g. temporal trend of outbreaks in places where repeated outbreaks occurred) to the model may improve model prediction. In spite of these, we think that overall patterns of distribution and associated risk factors presented here are informative and offer insights into global distribution and risk factors associated with water-associated diseases, although further studies on other possible risk factors and modeling approaches to improving prediction are still needed.

In conclusion, our study, to our knowledge, is the first to describe global distribution of outbreaks caused by water-associated infectious diseases and explore possible risk factors underlying the distribution of these outbreaks at the global scale. The risk maps may offer insights for future studies and for prioritizing health resources.

Author Contributions

Conceived and designed the experiments: SL JL DA. Performed the experiments: KY SL. Analyzed the data: KY SL BL CKS. Wrote the paper: KY SL JL DA BL CKS.

  • View Article
  • Google Scholar
  • 17. Cotruvo J, Dufour A, Rees G, Bartram J, Carr R, et al. (2004) Waterborne zoonoses: identification, causes, and control. IWA Publishing.
  • Open access
  • Published: 17 May 2022

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  • Pradeep Kumar 1 ,
  • Shobhit Srivastava 2 ,
  • Adrita Banerjee 3 &
  • Snigdha Banerjee 3  

BMC Public Health volume  22 , Article number:  993 ( 2022 ) Cite this article

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India suffers from a high burden of diarrhoea and other water-borne diseases due to unsafe water, inadequate sanitation and poor hygiene practices among human population. With age the immune system becomes complex and antibody alone does not determine susceptibility to diseases which increases the chances of waterborne disease among elderly population. Therefore the study examines the prevalence and predictors of water-borne diseases among elderly in India.

Data for this study was collected from the Longitudinal Ageing Study in India (LASI), 2017–18. Descriptive statistics along with bivariate analysis was used in the present study to reveal the initial results. Proportion test was applied to check the significance level of prevalence of water borne diseases between urban and rural place of residence. Additionally, binary logistic regression analysis was used to estimate the association between the outcome variable (water borne diseases) and the explanatory variables.

The study finds the prevalence of water borne disease among the elderly is more in the rural (22.5%) areas compared to the urban counterparts (12.2%) due to the use of unimproved water sources. The percentage of population aged 60 years and above with waterborne disease is more in the central Indian states like Chhattisgarh and Madhya Pradesh followed by the North Indian states. Sex of the participate, educational status, work status, BMI, place of residence, type of toilet facility and water source are important determinants of water borne disease among elderly in India.

Elderly people living in the rural areas are more prone to waterborne diseases. The study also finds state wise variation in prevalence of waterborne diseases. The elderly people might not be aware of the hygiene practices which further adhere to the disease risk. Therefore, there is a need to create awareness on basic hygiene among this population for preventing such bacterial diseases.

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Introduction

The Sustainable Development Goal, 2017 aimed to ensure availability and sustainable management of water and sanitation for all by 2030 [ 1 ]. However globally 780 million people live without access to safe water and approximately 2.5 billion people in the developing world lived without access to adequate sanitation [ 2 , 3 ]. Polluted water and poor sanitation practices expose individuals to health risks. Emerging water-borne pathogens constitute a significant health hazard in both developed and developing nations [ 4 ] as they can spread rapidly and affect large sections of the population. Water-borne diseases are transmitted through contaminated drinking water with pathogen microorganisms such as protozoa, virus, bacteria, and intestinal parasites. According to the projection of Global Burden Disease report, the burden of water borne disease was the second highest reason for mortality in 1990 however, it was lower down in ninth most important reason for mortality in 2020 [ 5 ]. Around 829,000 people are estimated to die each year from diarrheal diseases majorly cholera, dysentery and typhoid fever due to unsafe drinking water and unhygienic sanitation practice [ 6 ]. Further, the WHO (2015) reported that about 6.3 per cent of deaths occur due to unsafe water, inadequate sanitation, and poor hygiene. Adequate, safe, and accessible water supplies as well as satisfactory sanitation are most required to have secure health status [ 7 ]. According to WHO (2015), nearly 4 percent of the global disease burden could be prevented by improving water supply, sanitation, and hygiene [ 8 ].

It is estimated that around 37.7 million Indians are affected by waterborne diseases annually; 1.5 million children are estimated to die of diarrhoea alone and 73 million working days are lost due to waterborne disease each year [ 9 ]. Water-borne diseases pose a high disease burden and significantly impact on country’s economic growth [ 10 ]. These diseases erupt every year during summer and rainy seasons as a result of improper management of water supply especially of drinking water and sanitation [ 11 , 12 ].

Poor urban governance, rapidly growing economies, highly dense population, poor housing and sanitation in slum areas of cities create environments rife for waterborne diseases [ 13 ]. One of the study in slum areas of Mumbai revealed that at least 30 per cent of all morbidity are due to water-related infections [ 14 ]. In rural areas, there are no proper water supply and sewerage systems. In the villages, water contamination can be attributed to infiltration, leaching, and surface run-off through pastures, lacking and leakage of sewerage disposal systems. Studies based on rural India revealed that lacking in knowledge, attitudes and practices (KAP) with regard to water handling, sanitation and defecation practices are common causes of waterborne diseases [ 15 , 16 ]. Water pollution, open defecation and poor hygiene practices are the main hindrances to achieving good health. Therefore, safe and readily available water is essential for public health whether used for drinking, domestic use, food production or recreational purposes. Adequate access to safe water, improving quality of water source, treating and storing household water and encouraging hygiene practices can prevent waterborne diseases. As the global population is increasing rapidly over time, water availability will lower down steadily [ 8 ]. Individuals with low immunity are more susceptible to water-borne diarrheal diseases, especially children andelderly, with the low immune system are most susceptible to pathogen-related water-borne diseases [ 17 ]. According to U.S. Environmental Protection Agency, elderly along with children and pregnant women, were recognized as the sensitive sub-populations for water-borne diseases [ 18 ].

India is currently in the third stage of demographic transition and with 8% of geriatric population India could well be called an ageing nation [ 19 ]. The elderly population of India is expected to increase three fold by 2050 [ 20 ]. Among the elderly, infections are often more severe due to the presence of multiple underlying medical conditions, low immune system, and frequent use of drugs [ 21 ]. People in India mostly are unaware of safe and hygienic practices and this is prevalent across all age groups. This in turn increases the risk of communicable diseases. Thus, the resources and policy attention should be focused on strengthening primary health care systems that address communicable diseases and reduce the underlying risk factors. The rising number of elderly with various health problems creates a pressure on the existing public health system in India. In order to focus on strengthening the health care system to serve the elderly population there is need to study the prevalence of various disease risk among the elderly population. The major objective of the study is to examine the prevalence and predictors of water borne diseases among elderly. The study aims to bridge the research gap as less attention has been paid on the water borne diseases among the elderly population. The results of the study would further help in embarking knowledge, attitude and practices related to water handling, sanitation and defecation practices among the elderly which might reduce to some extent the load of communicable disease risk among elderly.

Materials and methods

Study settings and population.

Cross-sectional data for this study was used from the Longitudinal Ageing Study in India (LASI), nationally representative survey conducted in the year 2017–18 and covered 72,000 elderly age 45 and above across all states and union territories of India [ 22 ].

Study design

Cross-sectional survey.

Sample size calculation and sampling procedure

LASI is a full-scale national survey of scientific investigation of the health, economic, and social determinants and consequences of population aging in India. The main objective of the LASI survey was to study the health status and the social and economic well-being of elderly in India. The survey adopted a multistage stratified area probability cluster sampling design to arrive at the eventual units of observation: elderly age 45 and above and their spouses irrespective of age.

Within each state, LASI Wave 1 adopted three-stage sampling design in rural areas and four-stage sampling design in urban areas. In each state/UTs, the first stage involved selection of Primary Sampling Units (PSUs), that is, sub-districts (Tehsils/Talukas), and the second stage involved the selection of villages in rural areas and wards in urban areas in the selected PSUs. In rural areas, households were selected from selected villages in the third stage. However, sampling in urban areas involved an additional stage. Specifically, in the third stage, one Census Enumeration Block (CEB) was randomly selected in each in urban area. In the fourth stage, households were selected from this CEB.

The present study is conducted on the eligible participant’s age 60 years and above. The total sample size for the present study is 31464 (for rural-20725 and urban-10739) elders aged 60 years and above [ 22 ].

Study variables

Outcome variable.

The outcome variable (water borne diseases) was binary in nature i.e. water borne diseases coded as no and yes. The variable was generated using the question “has any health professional diagnosed you with diarrhoea/gastroenteritis or typhoid or jaundice/hepatitis in last two years [ 23 ].

Explanatory variables

The control variables were selected after doing extensive literature review. The variables selected are as follows:

Age was recoded as 60–69, 70–79 and 80 + years.

Sex was recoded as male and female.

Education was recoded as no education/primary not completed, primary completed, secondary completed and higher and above.

Marital status was recoded as currently married, widowed and others. Others included separated/never married/divorced.

Working status was coded as currently working, retire and never worked.

Body mass index was recoded as underweight, normal and overweight/obese. The participants having a body mass index (BMI) of 25 and above were categorized as obese/overweight whereas participant who had BMI as 18.4 and less were coded as underweight [ 24 ]. BMI is calculated by dividing an individual’s weight (in kilograms) by the square of their height (in metres).

Type of toilet facility was recoded as unimproved and improved [ 25 ]. Improved toilet facility includes pour-flush latrines, ventilated improved pit latrines, and pit latrines with a slab/covered pit. Unimproved toilet facility includes Shared facilities of any type, no facilities (bush or field); flush or pour-flush to elsewhere (that is, not to piped sewer system, septic tank or pit latrine); pit latrines without slab / open pits, bucket systems; hanging toilet or hanging latrine.

Source of drinking water was recoded as unimproved and improved [ 25 ]. Improved source of drinking water includes piped water, public tap/standpipe, tube well or bore well, dug well, spring water and rain water. Unimproved water sources include tanker, cart with small tank, bottled water/pouch water, surface water and other sources of water.

Type of house was recoded as pucca, semi pucca and kutcha.

The monthly per capita expenditure (MPCE) was assessed using household consumption data. Sets of 11 and 29 questions on the expenditures on food and non-food items, respectively, were used to canvas the sample households. Food expenditure was collected based on a reference period of seven days, and non-food expenditure was collected based on reference periods of 30 days and 365 days. Food and non-food expenditures have been standardized to the 30-day reference period. The monthly per capita consumption expenditure (MPCE) is computed and used as the summary measure of consumption. The variable was then divided into five quintiles i.e., from poorest to richest [ 22 ].

Religion was recoded as Hindu, Muslim, Christian and Others.

Caste was recoded as Scheduled Tribe, Scheduled Caste, Other Backward Class, and others. The Scheduled Caste include “untouchables”; a group of the population that is socially segregated and financially/economically by their low status as per Hindu caste hierarchy. The Scheduled Castes (SCs) and Scheduled Tribes (STs) are among the most disadvantaged socio-economic groups in India. The OBC is the group of people who were identified as “educationally, economically and socially backward”. The OBC’s are considered low in the traditional caste hierarchy but are not considered untouchables. The “other” caste category is identified as having higher social status [ 26 ].

Place of residence was recoded as rural and urban area.

Region was recoded as North, Central, East, Northeast, West, and South.

Statistical analysis

Univariate along with bivariate analysis was used in present study to reveal the initial results. Proportion test [ 27 ] was applied to check the significance level of prevalence of water borne diseases between urban and rural place of residence. Additionally, binary logistic regression analysis [ 28 ] was used to estimate the association between the outcome variable (water borne diseases) and other explanatory variables.

The binary logistic regression model is usually put into a more compact form as follows:

The parameter \({\beta }_{0}\) estimates the log odds of water borne diseases for the reference group, while \(\beta\) estimates the maximum likelihood, the differential log odds of water borne diseases associated with a set of predictors X, as compared to the reference group, and \(\epsilon\) represents the residual in the model. The variance inflation factor (VIF) ( Additional file -Table-A 1 ) was used to check for the presence of multicollinearity and the test confirmed that there was no evidence of multicollinearity [ 29 ]. STATA 14 was used for the analysis purpose.

Socio-demographic and economic profile of elderly in India

Table 1 presents the socio-demographic and economic profile of the study participants. A similar proportion of elderly lived in rural and urban areas irrespective of age group. Only three per cent of elderly in rural areas had higher education and this percentage was five times in urban areas. In rural areas, about one-third of elderly were working whereas one-fifth of elderly in urban areas were working. Nearly one-third of older adults in rural and one in every ten older elderly in urban areas were underweight. Only one-third of elderly in rural areas were used improved toilet facility and eight in every 10 elderly in urban areas were used improved toilet facility. In rural areas, three fifth of elderly used improved source of drinking water whereas nine in every ten elderly from urban areas used improved source of drinking water. About four in every ten elderly in rural areas lived in pucca house and this proportion was almost double in urban areas.

Figure  1 shows the prevalence of diarrhoea/gastroenteritis or typhoid or jaundice/hepatitis. It was found that 14.8% (14.4–15.2) of elderly suffered from diarrhoea/gastroenteritis and 5.5% (5.2–5.7) suffered from typhoid and 2.5% (2.3–2.7) suffered from jaundice/hepatitis. The prevalence of water borne diseases among elderly was 19.5% (19.0–19.8).

figure 1

Prevalence of diarrhoea/gastroenteritis or typhoid or jaundice/hepatitis among elderly in India, 2017–18

Prevalence of water borne diseases among elderly in India

Table 2 shows that there was a significant rural–urban difference in the prevalence of water borne diseases in India (difference: 10.2 percentage point). The prevalence of water borne disease among elderly in rural areas was 22.5% whereas in urban areas the prevalence was 12.2%. The rural–urban differences was highest among elderly who used unimproved toilet facility (difference: 17.1 percentage point), had 80 + years of age (difference: 14.4 percentage point), who belonged to other backward class (difference: 12.4 percentage point), richer elderly (difference: 12.3 percentage point), and those were not working (difference: 12.1 percentage point). Moreover, the prevalence of water borne diseases was higher among underweight elderly, and those who lived in kutcha houses irrespective to their place of residence.

Figure  2 shows state-wise prevalence of water borne diseases among elderly in India. The prevalence of water borne diseases was highest in Chhattisgarh (36.9 per cent), followed by Mizoram (35 per cent), Haryana (34.6 per cent), and Bihar (34 per cent). However, this prevalence was lowest in Kerala (3.5 per cent), followed by Goa (6.2 per cent), and Tamil Nadu (6.8 per cent).

figure 2

shows state-wise prevalence of water borne diseases among elderly in India

State-wise prevalence of water borne diseases in rural and urban areas in India

Table 3 presents the state-wise prevalence of water borne disease stratified by place of residence in India. In rural areas, the prevalence of water borne diseases was highest in Chhattisgarh (38.5 per cent) followed by Madhya Pradesh (36 per cent), Haryana (35.2 per cent), and Rajasthan (34.9 per cent) while for urban areas, water borne diseases was more prevalent in Bihar (36.3 per cent), followed by Mizoram (36.1 per cent), Himachal Pradesh (32.9 per cent), and Haryana (32.4 per cent) [Additional file Table A 2 ].

Estimates from logistic regression analysis for older adults who suffered from water borne diseases in India

Table 4 shows the adjusted odds ratio for elderly  who suffered from water borne disease in India. It was revealed that the odds of water borne diseases was high in rural areas in reference to urban areas [AOR: 1.21; p  < 0.05]. The likelihood of water borne diseases was significantly more among elderly female than male counterparts [AOR: 1.19; p  < 0.05]. Moreover, the odds of water borne diseases were decreased with increase the level of education among elderly. The risk of water borne diseases was 12 per cent more among underweight elderly compared to overweight/obese elderly [AOR: 1.12; p  < 0.05]. Similarly, elderly who used unimproved toilet facility [AOR: 1.22; p  < 0.05] and unimproved source of drinking water [AOR: 1.37; p  < 0.05] were 22 per cent and 37 per cent more likely to suffer from water borne diseases respectively, compared to their counterparts. The likelihood of water borne diseases was 27 per cent and 16 per cent more among scheduled tribe [AOR: 1.27; p  < 0.05] and other backward class elderly [AOR: 1.16; p  < 0.05] respectively, compared to scheduled caste elderly. With reference to elderly who belonged to North region, the likelihood of water borne diseases was 36 per cent more among elderly who belonged to Central region [AOR: 1.36; p  < 0.05].

The present study tries to see the prevalence and predictors of water borne disease in India. The prevalence of water borne disease among the elderly is more in the rural (22.5%) areas compared to the urban counterparts (12.2%) with a significant absolute difference of about 10.2%. The percentage of elderly population with waterborne disease is more in the central Indian states like Chhattisgarh and Madhya Pradesh followed by the North Indian states. The result of logistic regression concludes that sex of the participant, educational status, working status, BMI, place of residence, type of toilet facility and water source are important determinants of water borne disease among elderly in India. The infectious disease distribution which includes water borne diseases involves complex social and demographic factors including human population density and behaviour, housing type and location, water supply, sewage and waste management systems, land use and irrigation systems, access to health care, and general environmental hygiene [ 30 ]. In the study the waterborne diseases include diarrhoea, typhoid and jaundice. Earlier studies have shown diarrhoea and its complication to be more among elderly people, particularly those who require long term care [ 31 ]. The study finding that waterborne diseases are more in the rural areas compared to the urban areas is also consistent with earlier studies which concluded diarrheal prevalence to be more in rural areas and also in Central part of the country [ 32 , 33 ]. A meta-analysis of typhoid prevalence in India concluded that this waterborne disease prevalence was more in the rural area with 0.09 lesser odds of having the disease in urban counterparts [ 34 ].

Our finding that waterborne disease prevalence vary with the anthropometric status as measured by BMI level with significantly higher odds of prevalence among the underweight compared to the overweight participants have theoretical justification as well. The relationship between malnutrition and the infection risk is bidirectional where infection adversely affects nutritional status through reductions in dietary intake and intestinal absorption, increased catabolism and sequestration of nutrients that are required for tissue synthesis and growth. On the other hand, malnutrition can predispose to infection because of its negative impact on the barrier protection afforded by the skin and mucous membranes and by inducing alterations in host immune function [ 35 , 36 , 37 ]. Earlier studies based on infectious disease risk among the children have indicated the educational status of mother as an important determinant with more infections among illiterate mothers [ 32 , 38 , 39 ]. The studies have debated that the disease risk is lesser among educated mothers because of hygiene practices, child feeding and caring practices, and improved living conditions. Similarly among the elderly participants as well educated people have a better understanding of the hygiene practices and feeding and caring habits and hence a reduced risk of waterborne infections.

The study finding that disease risk is more among population using unimproved sources of water and sanitation is consistent with earlier study which states drinking water, sanitation facilities and hygienic behaviour are the determining factors of health of household members [ 40 ]. A longitudinal study in the slums of Ethiopia shows sanitation facilities and hygienic condition of households were associated with acute diarrhoea [ 41 ]. Studies have also indicated improved water, sanitation and hygiene conditions of the households are accountable for diarrheal and other waterborne diseases [ 42 , 43 ]. Unimproved sources of drinking water, quality of drinking water, absences of sanitation facilities and garbage collection was associated with stomach problem in urban India [ 16 , 44 , 45 ].

India suffers from a higher burden of infectious disease particularly water bone disease due to a weak public drinking water distribution system [ 10 ]. The degraded water quality can contribute to water scarcity as it limits its availability for both human use and for the ecosystem. With more than 8% of elderly aged 60 years and above residing in India [ 19 ] it is important to see the prevalence of water borne disease among the increasing population of elderly as there is a need to protect the population since treatment cost is also not cheap. Moreover, studies indicating infectious disease among the elderly is very few [ 21 ]. Thus the present analysis is an important contribution in research related to health of the elder population.

Elderly living in rural areas are more prone to waterborne diseases. Use of unimproved water and absence of improved sanitation are major factors affecting waterborne disease among elderly. However the major limitation of the study is that the disease prevalence is based on self-reported morbidity status and lacks clinical verification, with a possibility of under reporting as well as over reporting and thus an underestimation or overestimation of the prevalence of the morbidities under study. However as is seen in various studies these self-reported measures or patient reported outcomes address issues that are of primary interest to the clinician and thus can be considered for measurement [ 23 ]. Consistent with findings from earlier literature regardless of whether there is under-reporting or over-reporting, the aforesaid socio-economic and demographic factors affect the pattern of morbidities associated with infections among elderly in India.

The elderly population might not be aware of the hygiene practices which adhere to the disease risk among this group. With age the antibody resistance falls and thus they might be well affected by the waterborne diseases. There is a need to focus on this population on preventing such bacterial diseases. This can be achieved by encouraging those aged 60 years and above as well as their caretakers to seek healthcare at early signs of infection. It also recommends making elderly aware of how to maintain the proper hygienic condition while availing the improved sanitation and water facilities provided to the people. The government should focus on providing safe water to the elderly population, train them to store water in a right and proper way.

Availability of data and materials

https://www.iipsindia.ac.in/content/LASI-data

United Nations. The Millennium Development Goals Report. United Nations 2015:72. 978-92-1-101320-7

Agingu JB. Levels and differentials of occurence of water borne diseases at Moi University. Kenya Acad Res Int. 2020;11:10–8.

Google Scholar  

Bidhuri S, Taqi M, Khan MMA. Water-borne disease: Link between human health and water use in the Mithepur and Jaitpur area of the NCT of Delhi. J Public Heal. 2018;26:119–26. https://doi.org/10.1007/s10389-017-0835-y .

Article   Google Scholar  

Sharma S, Sachdeva P, Virdi JS. Emerging water-borne pathogens. Appl Microbiol Biotechnol. 2003;61(5-6):424-8. https://doi.org/10.1007/s00253-003-1302-y . Epub 2003 Apr 9.

Lopez AD, Murray CJ, eds., The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020; summary. Harvard School of Public Health; 1996.

Prüss-Ustün A, Bartram J, Clasen T, Colford JM Jr, Cumming O, Curtis V, et al. Burden of disease from inadequate water, sanitation and hygiene in low-and middle-income settings: a retrospective analysis of data from 145 countries. Trop Med Int Heal. 2014;19:894–905.

Szálkai K. Water-Borne Diseases BT - The Palgrave Encyclopedia of Global Security Studies. In: Romaniuk S, Thapa M, Marton P, editors. Cham: Springer International Publishing; 2019. pp. 1–7. https://doi.org/10.1007/978-3-319-74336-3_562-1 .

WHO/UNICEF Joint Water Supply, & Sanitation Monitoring Programme. Progress on sanitation and drinking water: 2015 update and MDG assessment. World Health Organization; 2015.

UNICEF. Clean drinking water Ensuring survival and improved outcomes across all outcomes for every child. 2019.

Pathak H. Effect of Water Borne Diseases on Indian Economy…. Analele Univ Din Ordea, Ser Geogr. 2015;1:74–8.

Chabba APS. Water-Borne Diseases in India. 2013.

Oguntoke O, Aboderin OJ, Bankole AM. Association of water-borne diseases morbidity pattern and water quality in parts of Ibadan City. Nigeria. 2009;11:189–95.

CAS   Google Scholar  

Saravanan VS, Ayessa Idenal M, Saiyed S, Saxena D, Gerke S. Urbanization and human health in urban India: Institutional analysis of water-borne diseases in Ahmedabad. Health Policy Plan. 2016;31:1089–99. https://doi.org/10.1093/heapol/czw039 .

Article   CAS   PubMed   Google Scholar  

Karn SK, Harada H. Field survey on water supply, sanitation and associated health impacts in urban poor communities – a case from Mumbai City, India. Water Science and Technology. 2002;46(11-12):269-75.

Banda K, Sarkar R, Gopal S, Govindarajan J, Harijan BB, Jeyakumar MB, et al. Water handling, sanitation and defecation practices in rural southern India: a knowledge, attitudes and practices study. Trans R Soc Trop Med Hyg. 2007;101:1124–30. https://doi.org/10.1016/j.trstmh.2007.05.004 .

Article   PubMed   Google Scholar  

Purohit BC. Health Impact of Water Borne Diseases and Regional Disparities in India. Int J Heal Sci Res Int J Heal Sci Res. 2012;2:1.

Pal M, Ayele Y, Hadush A, Panigrahi S, Jadhav VJ. Public Health Hazards Due to Unsafe Drinking Water. Air Water Borne Dis. 2018;7:1–6. https://doi.org/10.4172/2167-7719.1000138 .

Naumova EN, Egorov AI, Morris RD, Griffiths JK. The elderly and waterborne Cryptosporidium infection: Gastroenteritis hospitalizations before and during the 1993 Milwaukee outbreak. Emerg Infect Dis. 2003;9:418–25. https://doi.org/10.3201/eid0904.020260 .

Article   PubMed   PubMed Central   Google Scholar  

Office of the Registrar General & Census Commissioner of India. Census of India 2011 provisional population totals. Ministry of Home Affairs, Government of India. 2011.

Bhagat RB. "Ageing in India: The Class Demographics and Policy Issues." The Trajectory of India’s Middle Class. Economy, Ethics and Etiquette. 2015:248-263.

Steens A, Eriksen HM, Blystad H. What are the most important infectious diseases among those ≥65 years: a comprehensive analysis on notifiable diseases, Norway, 1993-2011. BMC Infect Dis. 2014;14:57. https://doi.org/10.1186/1471-2334-14-57 .

International Institute for Population Sciences (IIPS), NPHCE, MoHFW, et al. Longitudinal Ageing Study in India (LASI) Wave 1. Mumbai, India (2020).

McKenna SP. Measuring patient-reported outcomes: Moving beyond misplaced common sense to hard science. BMC Med. 2011;9:86. https://doi.org/10.1186/1741-7015-9-86 .

Fauziana R, Jeyagurunathan A, Abdin E, Vaingankar J, Sagayadevan V, Shafie S, et al. Body mass index, waist-hip ratio and risk of chronic medical condition in the elderly population: Results from the Well-being of the Singapore Elderly (WiSE) Study. BMC Geriatr. 2016;16:1–9. https://doi.org/10.1186/s12877-016-0297-z .

Kumar P, Patel R, Chauhan S, Srivastava S, Khare A, Kumar PK. Does socio-economic inequality in infant mortality still exists in India? An analysis based on National Family Health Survey 2005–06 and 2015–16. Clin Epidemiol Glob Heal. 2020. https://doi.org/10.1016/j.cegh.2020.07.010 .

Zacharias A, Vakulabharanam V. Caste Stratification and Wealth Inequality in India. World Dev. 2011. https://doi.org/10.1016/j.worlddev.2011.04.026 .

Koopman PAR. Confidence Intervals for the Ratio of Two Binomial Proportions. Biometrics. 1984. https://doi.org/10.2307/2531405 .

King J. Binary logistic regression. In Osborne, J. (Ed.), Best practices in quantitative methods (pp. 358-384). SAGE Publications, Inc.; 2008. https://dx.doi.org/10.4135/9781412995627 .

Lewis-Beck M, Bryman A, Futing LT. Variance Inflation Factors. SAGE Encycl Soc Sci Res Methods. 2012. https://doi.org/10.4135/9781412950589.n1067 .

Ramana Dhara V, Schramm PJ, Luber G. Climate change & infectious diseases in India: Implications for health care providers. Indian J Med Res. 2013;138:847–52.

PubMed   PubMed Central   Google Scholar  

Adiga GU, Dharmarajan TS, Pitchumoni CS. Diarrhea in older adults. Pract Gastroenterol. 2005;29:63–82.

Paul P. Socio-demographic and environmental factors associated with diarrhoeal disease among children under five in India. BMC Public Health. 2020;20:1–11. https://doi.org/10.1186/s12889-020-09981-y .

Vijayan B, Ramanathan M. Prevalence and clustering of diarrhoea within households in India: some evidence from NFHS-4, 2015–16. J Biosoc Sci. 2013;53:108–20. https://doi.org/10.1017/s0021932020000073 .

John J, Van Aart CJC, Grassly NC. The Burden of Typhoid and Paratyphoid in India: Systematic Review and Meta-analysis. PLoS Negl Trop Dis. 2016;10:1–14. https://doi.org/10.1371/journal.pntd.0004616 .

Article   CAS   Google Scholar  

Martorell R, Habicht JP, Yarbrough C, Lechtig A, Klein RE, Western KA. Acute morbidity and physical growth in rural Guatemalan children. Am J Dis Child. 1975;129:1296–301. https://doi.org/10.1001/archpedi.1975.02120480022007 .

Palmer DL, Koster FT, Alam AKMJ, Islam MR. Nutritional Status: A Determinant of Severity of Diarrhea in Patients with Cholera. J Infect Dis. 1976;134:8–14. https://doi.org/10.1093/infdis/134.1.8 .

Kenneth BH. Symposium: Nutrition and Infection, Prologue and Progress Since 1968: Diarrhea and Malnutrition. J Nutr. 2003;133:336–40.

Sarker AR, Sultana M, Mahumud RA, Sheikh N, Van Der Meer R, Morton A. Prevalence and Health Care-Seeking Behavior for Childhood Diarrheal Disease in Bangladesh. Glob Pediatr Health. 2016;3:2333794X16680901. https://doi.org/10.1177/2333794X16680901 .

Asfaha KF, Tesfamichael FA, Fisseha GK, Misgina KH, Weldu MG, Welehaweria NB, Gebregiorgis YS. Determinants of childhood diarrhea in Medebay Zana District, Northwest Tigray, Ethiopia: a community based unmatched case-control study. BMC Pediatr. 2018;18(1):120. https://doi.org/10.1186/s12887-018-1098-7 .

Troeger C, Forouzanfar M, Rao PC, Khalil I, Brown A, Reiner RC, et al. Estimates of global, regional, and national morbidity, mortality, and aetiologies of diarrhoeal diseases: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Infect Dis. 2017;17:909–48. https://doi.org/10.1016/S1473-3099(17)30276-1 .

Adane M, Mengistie B, Kloos H, Medhin G, Mulat W. Sanitation facilities, hygienic conditions, and prevalence of acute diarrhea among underfive children in slums of Addis Ababa, Ethiopia: Baseline survey of a longitudinal study. PLoS ONE. 2017;12:1–18. https://doi.org/10.1371/journal.pone.0182783 .

Bakir H, Hadi M, Jurdi M. Towards a renewed public health regulatory and surveillance role in water, sanitation and hygiene. East Mediterr Health J. 2017;23(8):525-6.

Fan VYM, Mahal A. What prevents child diarrhoea? the impacts of water supply, toilets, and hand-washing in rural India. J Dev Eff. 2011;3:340–70. https://doi.org/10.1080/19439342.2011.596941 .

Kumar S, Vollmer S. Does access to improved sanitation reduce childhood diarrhea in rural India? Health Econ. 2013;22(4):410-27. https://doi.org/10.1002/hec.2809 . Epub 2012 Mar 22.

Patel SK., Pradhan MR, Patel S. Water, sanitation, and hygiene (WASH) conditions and their association with selected diseases in urban India. J Popul and Soc Stud [JPSS]. 2020;28(2):103-15.

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Kumar, P., Srivastava, S., Banerjee, A. et al. Prevalence and predictors of water-borne diseases among elderly people in India: evidence from Longitudinal Ageing Study in India, 2017–18. BMC Public Health 22 , 993 (2022). https://doi.org/10.1186/s12889-022-13376-6

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  • Water-borne diseases
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BMC Public Health

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research article on water borne diseases

Microbial Waterborne Diseases in India: Status, Interventions, and Future Perspectives

  • Review Article
  • Published: 06 November 2023
  • Volume 80 , article number  400 , ( 2023 )

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research article on water borne diseases

  • Mamta D. Sharma 1 , 2 ,
  • Puranjan Mishra 3 ,
  • Aaliya Ali 1 , 2 ,
  • Pradeep Kumar 1 , 2 ,
  • Prachi Kapil 1 , 2 ,
  • Rahul Grover 4 ,
  • Rekha Verma 5 ,
  • Anita Saini 4 &
  • Saurabh Kulshrestha   ORCID: orcid.org/0000-0003-0351-9425 1 , 2  

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Water plays a vital role as a natural resource since life is unsustainable without it. If water is polluted or contaminated, it results in several health issues among people. Millions of people are infected with waterborne diseases globally, and India is no exception. In the present review, we have analyzed the outbreaks of waterborne diseases that occurred in several Indian states between 2014 and 2020, identified the key infections, and provided insights into the performance of sanitation improvement programs. We noted that acute diarrheal disease (ADD), typhoid, cholera, hepatitis, and shigellosis are common waterborne diseases in India. These diseases have caused about 11,728 deaths between 2014 and 2018 out of which 10,738 deaths occurred only after 2017. The outbreaks of these diseases have been rising because of a lack of adequate sanitation, poor hygiene, and the absence of proper disposal systems. Despite various efforts by the government such as awareness campaigns, guidance on diet for infected individuals, and sanitation improvement programs, the situation is still grim. Disease hotspots and risk factors must be identified, water, sanitation, and hygiene (WASH) services must be improved, and ongoing policies must be effectively implemented to improve the situation. The efforts must be customized to the local environment. In addition, the possible effects of climate change must be projected, and strategies must be accordingly optimized.

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Narayana Health (2019) Effects of waterborne disease in health and its prevention. https://www.narayanahealth.org/blog/effects-of-water-borne-disease-in-health-and-its-prevention/ . Accessed 6 June 2019

Navarro-Noya YE, Suárez-Arriaga MC, Rojas-Valdes A, Montoya-Ciriaco NM, Gómez-AcataS F-L, Dendooven L (2013) Pyrosequencing analysis of the bacterial community in drinking water wells. MicrobEcol 66(1):19–29

Google Scholar  

Pepper IL, Gerba CP (2019) Classes of diseases and types of pathogens. Environ Pollut Sci 26:617–633

Centers for Disease Control and Prevention (2014) Waterborne disease & outbreak surveillance reporting. https://www.cdc.gov/healthhtmlywater/surveillance/index

Earth Journalism Network (2016) Waterborne diseases. https://earthjournalism.net/resources/waterborne-diseases , Accessed 9 June 2019

MacGill M (2020) What you should know about diarrhea. Medical News Today. https://www.medicalnewstoday.com/articles/158634 , Accessed 4 June 2020

Weiss A (2018) Water authorities sue foam manufacturers over water contamination. Anapol Weiss. https://www.anapolweiss.com . Accessed 21 May 2018

Fewtrell L, Bartram J, Stenström TA (2001) Harmonised assessment of risk and risk management for water-related infectious disease: an overview. IWA Publishing, London, pp 1–16

Pepper IL, Brooks JP, Gerba CP (2006) Pathogens in biosolids. Adv Agron 90:1–41. https://doi.org/10.1016/S0065-2113(06)90001-7

Article   Google Scholar  

Gall AM, Mariñas BJ, Lu Y, Shisler JL (2015) Waterborne viruses: a barrier to safe drinking water. PLoSPathog 11(6):e1004867. https://doi.org/10.1371/journal.ppat.1004867

Article   CAS   Google Scholar  

Rusinol M, Girones R (2017) Summary of excreted and waterborne viruses. Global WaterPathogen Project 2017. https://www.waterpathogens.org/book/summary-of-excreted-and-waterborne-viruses , Accessed 6 December 2017

Bosch A, Pintó RM, Guix S (2014) Human astroviruses. Clin Microbiol Rev 27(4):1048–7104. https://doi.org/10.1128/CMR.00013-14

Article   PubMed   PubMed Central   Google Scholar  

Taneja N, Mewara A (2016) Shigellosis: epidemiology in India. Indian J Med Res 143(5):565–576. https://doi.org/10.4103/0971-5916.187104

Leclerc H, Schwartzbrod L, Dei-Cas E (2002) Microbial agents associated with waterborne diseases. Crit Rev Microbiol 28(4):371–409. https://doi.org/10.1080/1040-840291046768

Article   CAS   PubMed   Google Scholar  

Percival SL, Williams DW (2014) Legionella. Microbiology of waterborne diseases. Academic Press, Cambridge, pp 155–175

Chapter   Google Scholar  

Akullian A, Ng’eno E, Matheson AI, Cosmas L, Macharia D, Fields B, Montgomery JM (2015) Environmental transmission of typhoid fever in an urban slum. PLOS Negl Trop Dis 9(12):e0004212

Haake DA, Levett PN (2015) Leptospirosis in humans. Curr Top Microbiol Immunol 387:65–97. https://doi.org/10.1007/978-3-662-45059-8_5

Article   CAS   PubMed   PubMed Central   Google Scholar  

Decker BK, Palmore TN (2013) The role of water in healthcare-associated infections. CurrOpin Infect Dis 26(4):345–351. https://doi.org/10.1097/QCO.0b013e3283630adf

Bitton G (2014) Microbiology of drinking water: production and distribution. John Wiley, Hoboken

Book   Google Scholar  

Didier ES, Weiss LM (2006) Microsporidiosis: current status. Curr Opin Infect Dis 19(5):485–492. https://doi.org/10.1097/01.qco.0000244055.46382.23

Nithiuthai S, Anantaphruti M, Waikagul J, Gajadhar A (2004) Waterborne zoonotic helminthiases. Vet Parasitol 126(91–2):167–193. https://doi.org/10.1016/j.vetpar.2004.09.018

Article   PubMed   Google Scholar  

Mendes T, Minori K, Ueta M, Miguel DC, Allegretti SM (2017) Strongyloidiasis current status with emphasis in diagnosis and drug research. J Parasitol Res. https://doi.org/10.1155/2017/5056314

Salem CO, Schneegans F, Chollet J, Jemli ME (2011) Epidemiological studies on echinococcosis and characterization of human and livestock hydatid cysts in Mauritania. Iran J Parasitol 6(1):49–57

PubMed   PubMed Central   Google Scholar  

Magana-Arachchi DN, Wanigatunge RP (2020) Ubiquitous waterborne pathogens. Waterborne Pathogens. https://doi.org/10.1016/B978-0-12-818783-8.00002-5

Article   PubMed Central   Google Scholar  

Onyango AE, Okoth MW, Kunyanga CN, Aliwa BO (2018) Microbiological quality and contamination level of water sources in Isiolo County in Kenya. J Environ Public Health. https://doi.org/10.1155/2018/2139867

Chakraborty P, Sharma B, Babu PR, Yao KM, Jaychandran S (2014) Impact of total organic carbon (in sediments) and dissolved organic carbon (in overlying water column) on Hg sequestration by coastal sediments from the central east coast of India. MarPollutBull 79(1–2):342–347

CAS   Google Scholar  

Prasad G, Reshma AS, Ramesh MV (2021) Assessment of drinking water quality on public health at Alappuzha district, southern Kerala, India. Materials Today: Proceedings 46:3030–3036. https://doi.org/10.1016/j.matpr.2021.01.302

Khambete A K (2019) When water kills. India water portal. https://www.indiawaterportal.org . Accessed 9 January 2019

Gupta YP (2010) Poor water quality, a serious threat. DH DeccanHerald. https://www.deccanherald.com/content/63740/poor-water-quality-serious-threat.html . Accessed 13 April 2010

Central Bureau of Health and Intelligence National Health Profile (2019) 14 th Issue. http://www.cbhidghs.nic.in/WriteReadData/l892s/8603321691572511495.pdf

Kumar C (2019) Polluted water killed 7 every day in 2018. Times of India. https://timesofindia.indiatimes.com/india/polluted-water-killed-7-every-day-in-2018/articleshow/69996658.cms . Accessed 29 June 2019

National Health Profile (2017) Central Bureau of Health Investigation (CBHI), Directorate General of Health Services, Ministry of Health and Family Welfare, Government of India.

Disease Alert (2019) A monthly surveillance report from integrated disease surveillance programme. National Health Mission Issue-7 Vol. 4 1659113/2020/O/O NCDC

Maramraj KK, Subbalakshmi G, Ali MS, Dikid T, Yadav R, Sodha SV, Jain SK, Singh SK (2020) A community-wide acute diarrheal disease outbreak associated with drinking contaminated water from shallow bore-wells in a tribal village, India, 2017. BMC Public Health 20(1):231. https://doi.org/10.1186/s12889-020-8263-2

Lakshminarayanan S, Jayalakshmy R (2015) Diarrheal diseases among children in India: current scenario and future perspectives. J Nat Sci Biol Med 6(1):24–28. https://doi.org/10.4103/0976-9668.149073

Kamath A, Shetty K, Unnikrishnan B, Kaushik S, Rai SN (2018) Prevalence, patterns, and predictors of diarrhea: a spatial-temporal comprehensive evaluation in India. BMC Public Health 18(1):1

Nature India (2018) UP, Odisha report consistently high prevalence of under-5 diarrhoea . https://www.natureasia.com/en/nindia/article/10.1038/nindia.2018.157 . Accessed 3 December 2018

Tripathi B (2018) Diarrhoea took more lives than any other waterborne disease in India. India Spend. https://www.business-standard.com , Accessed 01 May 2018

Ghosh K, Chakraborty AS, Mog M (2021) Prevalence of diarrhoea among under five children in India and its contextual determinants: a geo-spatial analysis. Clin Epidemiol Global Health 12:100813. https://doi.org/10.1016/j.cegh.2021.100813

Choudhary TS, Sinha B, KheraA BN, Chu Y, Jackson B, Walker N, Black RE, MersonM BMK (2019) Factors associated with the decline in under-five diarrhea mortality in India: a list analysis. J Glob Health 9(2):020804. https://doi.org/10.7189/jogh.09.020804

Ahuja A (2019) Swasth report of Uttar Pradesh: India’s most populous state Grapples Withanaemia among Women, Child Wasting And Diarrhoea. NDTV https://swachhindia.ndtv.com . Accessed 22 November 2019

Central Bureau of Health Intelligence (2019) Under the ministry of health and family welfare. G plus2019.

Das G (2018) Assam high on diarrhoea list. The Telegraph. https://www.telegraphindia.com/north-east/assam-high-on-diarrhoea-list/cid/1453271 Accessed 29 June 2018

Delhi Jal Board (2019) Government of NCT of Delhi. http://delhijalboard.nic.in/content/action-be-taken-prevent-waterborne-diseases Accessed 2 July 2019

Salve P (2017) Sanitation Failures Kill, Stunt Children Most in UP, 4 other states. IndiaSpend. https://www.indiaspend.com/sanitation-failures-kill-stunt-children-most-in-up-4-other-states-77385 , Accessed 26 April 2017

Ngilneii C (2017) Enteric Fever (Typhoid)-Prevalence and deaths in India. Med India. https://www.medindia.net/health_statistics/diseases/typhoid-enteric-fever-india-healthstatistics.asp ., Accessed 25 October 2017

THE HINDU (2018) Diarrhoea outbreak: 28 hospitalized in Kolkata. https://www.thehindu.com/news/national/other-states/diarrhoea-outbreak-28-hospitalised-in-kolkata/article22727145.ece

United News of India (2020) Diarrhoea alert sounded in Meghalaya villages. http://www.uniindia.com/~/diarrhoea-alert-sounded-in-meghalaya-villages/States/news/2067424.html ., Accessed 05 July 2020

NDTV 2017 3Dead Due To Diarrhoea, 100 Affected in Nagaland https://www.ndtv.com/india-news/3-dead-due-to-diarrhoea-100-affected-in-nagaland-1734601 ., Accessed 7 August 2017

United News of India (2018) Diarrhoea outbreak in North Tripura, 9 dead. http://www.uniindia.com/diarrhoea-outbreak-in-north-tripura-9-dead/science-technology/news/1165012.html ., Accessed 12 March 2018

Sampath A (2017) Waterborne diseases Government of India Ministry of Drinking Water and Sanitation . http://www.indiaenvironmentportal.org.in/files/file/Waterborne%20Diseases.pdf , Accessed 6 April 2017

Keelery S (2020) Number of cases across Jharkhand in India 2010–2018. Statista. https://www.statista.com/statistics/861520/india-number-of-typhoid-cases-in-jharkhand/ , Accessed 13 July 2020

World Health Organisation (2018) Typhoid, Accessed 31 January 2018

Sharma P, Dahiya S, Manral N, Kumari B, Kumar S, Pandey S, Sood S, Das BK, Kapil A (2018) Changing trends of culture-positive typhoid fever and antimicrobial susceptibility in a tertiary care North Indian Hospital over the last decade. Indian J Med Microbiol 36(1):70–76. https://doi.org/10.4103/ijmm.IJMM_17_412

Gplus News (2019) Assam records the highest number of deaths due to diarrhea. https://www.guwahatiplus.com/daily-news/assam-records-highest-number-of-deaths-due-to-diarrhea , Accessed 25 June 2019

Shastri P (2019) Gujarat more ‘bimar’ than Bimaru states in waterborne diseases. Times of India. https://timesofindia.indiatimes.com/city/ahmedabad/gujarat-more-bimar-than-bimaru-states-in-waterborne-diseases/articleshow/70441988.cms , Accessed 30 July 2019

Nelson EJ, Harris JB, Morris JG, Calderwood SB, Camilli A (2009) Cholera transmission: the host, pathogen and bacteriophage dynamic. Nat Rev Microbiol 7(10):693–702. https://doi.org/10.1038/nrmicro2204

World Health Organization (2021)Cholera. https://www.who.int/news-room/fact-sheets/detail/cholera Accessed 5 February 2021

Sharma J, Gupta S (2015) Reemergence of Cholera in Lakhimpur District of Assam, India. American J Drug DelivTher: ISSN 2349–7211

Ali M, Sen Gupta S, Arora N, Khasnobis P, Venkatesh S, Sur D, Ganguly NK (2017) Identification of burden hotspots and risk factors for cholera in India: an observational study. PLoS ONE 12(8):e0183100. https://doi.org/10.1371/journal.pone.0183100Biswasetal.2014

Biswas DK, Bhunia R, Maji D, Das P (2014) Contaminated pond water favors cholera outbreak at Haibatpur Village, Purba Medinipur District, West Bengal, India. J Trop Med. https://doi.org/10.1155/2014/764530

Agarwal A, Singh S, Kolhapure S, Hoet B, Arankalle V, Mitra M (2019) Increasing burden of hepatitis a in adolescents and adults and the need for long-term protection: a review from the Indian subcontinent. Infect Dis Ther 8:483–497. https://doi.org/10.1007/s40121-019-00270-9

Abraham P (2012) Viral hepatitis in India. Clin Lab Med 32(2):159–174. https://doi.org/10.1016/j.cll.2012.03.003

Ray S (2019) Bacteria in packaged water in Kolkata’s Hepatitis A belt. Times of India. https://timesofindia.indiatimes.com/city/kolkata/bacteria-in-packaged-water-in-citys-hepatitis-a-belt/articleshow/69866423.cms , Accessed 20 July 2019

The Kashmir Press (2020) Waterborne diseases grip Ajas village, 600 hospitalized with Typhoid, Jaundice. https://thekashmirpress.com/2020/08/06/waterborne-diseases-grip-ajas-village-600-hospitalized-with-typhoid-jaundice/ , Accessed 6 August 2020

The Kashmir Press (2019) 100 taken ill after outbreak of gastroenteritis in Poonch villages. https://thekashmirpress.com/2019/06/17/100-taken-ill-after-outbreak-of-gastroenteritis-in-poonch-villages/ , Accessed 17 June 2019

Kar P (2019) Raise awareness of the global burden of viral hepatitis & to influence real change. Indian J Med Res 150(1):1–3. https://doi.org/10.4103/ijmr.IJMR_1243_19

Sayyed N (2019) Maha’s two-month card: 17 outbreaks of waterborne diseases. India News, Hindustan Times. https://www.hindustantimes.com/india-news/maha-s-two-month-card-17-outbreaks-of-waterborne-diseases/story-2xhbOKU8OyykNcwxZb5T1O.html , Accessed 2 June 2019

Kaminski RW, Pasetti MF, Aguilar AO, Clarkson KA, Rijpkema S, Bourgeois AL, Cohen D, Ian Feavers I, MacLennan CA (2019) Consensus report on Shigella controlled human infection model: immunological assays. Clin Infect Dis 69(8):S596–S601. https://doi.org/10.1093/cid/ciz909

WASHwatch.org – India (2017) Washwatch.org, Accessed 12 April 2017

World Health Organization and the United Nations Children’s Fund (2017). Progress on Drinking Water, Sanitation, and Hygiene: Update and SDG Baselines. Geneva

Basu S (2013) Unsafe water stunting the growth of Indian children. Down To Earth https://www.downtoearth.org.in/news/unsafe-water-stunting-growth-of-indian-children-report-40391 . Accessed 18 February 2013

Rastogi A (2018) Health impacts of flooding and risk management. NHP Admin. https://www.nhp.gov.in/health-impacts-of-flooding-and-risk-management_pg . Accessed 25 September 2018

Ramírez-Castillo FY, Loera-Muro A, Jacques M, Garneau P, Avelar-González FJ, Harel J, Guerrero-Barrera AL (2015) Waterborne pathogens: detection methods and challenges. Pathogens 4(2):307–334. https://doi.org/10.3390/pathogens4020307

World Health Organisation (2019) Diarrhoea https://www.who.int/health-topics/diarrhoea#tab=tab_1

Kothari D(2017) Thousands Die From Waterborne Diseases Each Year: Here’s What The Govt Can Do. https://www.youthkiawaaz.com/2017/05/water-sanitation-and-hygiene-and-human-development-in-india/ . Accessed 19 May 2017

Saha D (2015) Budget cuts by Modi government could boost 5 water-borne diseases. IndiaSpend.com. https://www.indiaspend.com/budget-cuts-could-boost-5-water-borne-diseases-95732/ . Accessed 6 March 2015

Houston KA, Gibb JG, Maitland K (2017) Oral rehydration of malnourished children with diarrhoea and dehydration: a systematic review. Wellcome Open Res 2:66. https://doi.org/10.12688/wellcomeopenres.12357.3

India Spend (2018) India’s Child Deaths from Diarrhoea Down 52% In Decade, But Pakistan, Bangladesh Do Better On Solutions. https://www.indiaspend.com/indias-child-deaths-from-diarrhoea-down-52-in-decade-but-pakistan-bangladesh-do-better-on-solutions-82548/ . Accessed 27 March 2018

Swachh Bharat Mission (2018) Access to toilets and the safety, convenience, and self-respect of women in rural India . http://swachhbharatmission.gov.in/sbmcms/writereaddata/Portal/Images/pdf/Safety-security-and-dignity-of-woman.pdf

Chaurasia H, Srivastava S, Singh JK (2020) Does seasonal variation affect diarrhoea prevalence among children in India? An analysis based on spatial regression models. Child Youth Serv Rev 118:105453. https://doi.org/10.1016/j.childyouth.2020.105453

Dakhode S, Gaidhane AM, Choudhari SG (2022) Policy, programs, and activities for promotion of water, sanitation and hygiene practices in schools of India. J Family Med Prim Care 11(8):4310–4318

Jangra B, Majra JP, Singh M (2016) Swachh Bharat Abhiyan (Clean India Mission): SWOT Analysis. Int J Community Med Public Health 3(12):3285–3290

ISC 2020 India Sanitation Coalition - Facilitating Sanitation Advancements In India

Choi GW, ChongK Y, Kim SJ, Ryu TS (2016) SWMI: New Paradigm of Water Resources Management for SDGs. Smart Water 1(3):1–12

www.companiesact.in

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Acknowledgements

All authors are thankful to the Vice Chancellor, Shoolini University of Biotechnology and Management Sciences, Solan, for providing the necessary facilities.

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Mamta D. Sharma, Aaliya Ali, Pradeep Kumar, Prachi Kapil & Saurabh Kulshrestha

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Sharma, M.D., Mishra, P., Ali, A. et al. Microbial Waterborne Diseases in India: Status, Interventions, and Future Perspectives. Curr Microbiol 80 , 400 (2023). https://doi.org/10.1007/s00284-023-03462-2

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Review article, effects of water pollution on human health and disease heterogeneity: a review.

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Background: More than 80% of sewage generated by human activities is discharged into rivers and oceans without any treatment, which results in environmental pollution and more than 50 diseases. 80% of diseases and 50% of child deaths worldwide are related to poor water quality.

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Introduction

Water is an essential resource for human survival. According to the 2021 World Water Development Report released by UNESCO, the global use of freshwater has increased six-fold in the past 100 years and has been growing by about 1% per year since the 1980s. With the increase of water consumption, water quality is facing severe challenges. Industrialization, agricultural production, and urban life have resulted in the degradation and pollution of the environment, adversely affecting the water bodies (rivers and oceans) necessary for life, ultimately affecting human health and sustainable social development ( Xu et al., 2022a ). Globally, an estimated 80% of industrial and municipal wastewater is discharged into the environment without any prior treatment, with adverse effects on human health and ecosystems. This proportion is higher in the least developed countries, where sanitation and wastewater treatment facilities are severely lacking.

Sources of Water Pollution

Water pollution are mainly concentrated in industrialization, agricultural activities, natural factors, and insufficient water supply and sewage treatment facilities. First, industry is the main cause of water pollution, these industries include distillery industry, tannery industry, pulp and paper industry, textile industry, food industry, iron and steel industry, nuclear industry and so on. Various toxic chemicals, organic and inorganic substances, toxic solvents and volatile organic chemicals may be released in industrial production. If these wastes are released into aquatic ecosystems without adequate treatment, they will cause water pollution ( Chowdhary et al., 2020 ). Arsenic, cadmium, and chromium are vital pollutants discharged in wastewater, and the industrial sector is a significant contributor to harmful pollutants ( Chen et al., 2019 ). With the acceleration of urbanization, wastewater from industrial production has gradually increased. ( Wu et al., 2020 ). In addition, water pollution caused by industrialization is also greatly affected by foreign direct investment. Industrial water pollution in less developed countries is positively correlated with foreign direct investment ( Jorgenson, 2009 ). Second, water pollution is closely related to agriculture. Pesticides, nitrogen fertilizers and organic farm wastes from agriculture are significant causes of water pollution (RCEP, 1979). Agricultural activities will contaminate the water with nitrates, phosphorus, pesticides, soil sediments, salts and pathogens ( Parris, 2011 ). Furthermore, agriculture has severely damaged all freshwater systems in their pristine state ( Moss, 2008 ). Untreated or partially treated wastewater is widely used for irrigation in water-scarce regions of developing countries, including China and India, and the presence of pollutants in sewage poses risks to the environment and health. Taking China as an example, the imbalance in the quantity and quality of surface water resources has led to the long-term use of wastewater irrigation in some areas in developing countries to meet the water demand of agricultural production, resulting in serious agricultural land and food pollution, pesticide residues and heavy metal pollution threatening food safety and Human Health ( Lu et al., 2015 ). Pesticides have an adverse impact on health through drinking water. Comparing pesticide use with health life Expectancy Longitudinal Survey data, it was found that a 10% increase in pesticide use resulted in a 1% increase in the medical disability index over 65 years of age ( Lai, 2017 ). The case of the Musi River in India shows a higher incidence of morbidity in wastewater-irrigated villages than normal-water households. Third, water pollution is related to natural factors. Taking Child Loess Plateau as an example, the concentration of trace elements in water quality is higher than the average world level, and trace elements come from natural weathering and manufacture causes. Poor river water quality is associated with high sodium and salinity hazards ( Xiao et al., 2019 ). The most typical water pollution in the middle part of the loess Plateau is hexavalent chromium pollution, which is caused by the natural environment and human activities. Loess and mudstone are the main sources, and groundwater with high concentrations of hexavalent chromium is also an important factor in surface water pollution (He et al., 2020). Finally, water supply and sewage treatment facilities are also important factors affecting drinking water quality, especially in developing countries. In parallel with China rapid economic growth, industrialization and urbanization, underinvestment in basic water supply and treatment facilities has led to water pollution, increased incidence of infectious and parasitic diseases, and increased exposure to industrial chemicals, heavy metals and algal toxins ( Wu et al., 1999 ). An econometric model predicts the impact of water purification equipment on water quality and therefore human health. When the proportion of household water treated with water purification equipment is reduced from 100% to 90%, the expected health benefits are reduced by up to 96%.. When the risk of pretreatment water quality is high, the decline is even more significant ( Brown and Clasen, 2012 ).

To sum up, water pollution results from both human and natural factors. Various human activities will directly affect water quality, including urbanization, population growth, industrial production, climate change, and other factors ( Halder and Islam, 2015 ) and religious activities ( Dwivedi et al., 2018 ). Improper disposal of solid waste, sand, and gravel is also one reason for decreasing water quality ( Ustaoğlua et al., 2020 ).

Impact of Water Pollution on Human Health

Unsafe water has severe implications for human health. According to UNESCO 2021 World Water Development Report , about 829,000 people die each year from diarrhea caused by unsafe drinking water, sanitation, and hand hygiene, including nearly 300,000 children under the age of five, representing 5.3 percent of all deaths in this age group. Data from Palestine suggest that people who drink municipal water directly are more likely to suffer from diseases such as diarrhea than those who use desalinated and household-filtered drinking water ( Yassin et al., 2006 ). In a comparative study of tap water, purified water, and bottled water, tap water was an essential source of gastrointestinal disease ( Payment et al., 1997 ). Lack of water and sanitation services also increases the incidence of diseases such as cholera, trachoma, schistosomiasis, and helminthiasis. Data from studies in developing countries show a clear relationship between cholera and contaminated water, and household water treatment and storage can reduce cholera ( Gundry et al., 2004 ). In addition to disease, unsafe drinking water, and poor environmental hygiene can lead to gastrointestinal illness, inhibiting nutrient absorption and malnutrition. These effects are especially pronounced for children.

Purpose of This Paper

More than two million people worldwide die each year from diarrhoeal diseases, with poor sanitation and unsafe drinking water being the leading cause of nearly 90% of deaths and affecting children the most (United Nations, 2016). More than 50 kinds of diseases are caused by poor drinking water quality, and 80% of diseases and 50% of child deaths are related to poor drinking water quality in the world. However, water pollution causes diarrhea, skin diseases, malnutrition, and even cancer and other diseases related to water pollution. Therefore, it is necessary to study the impact of water pollution on human health, especially disease heterogeneity, and clarify the importance of clean drinking water, which has important theoretical and practical significance for realizing sustainable development goals. Unfortunately, although many kinds of literature focus on water pollution and a particular disease, there is still a lack of research results that systematically analyze the impact of water pollution on human health and the heterogeneity of diseases. Based on the above background and discussion, this paper focuses on the effect of water pollution on human health and its disease heterogeneity.

Materials and Methods

Search process.

This article uses keywords such as “water,” “water pollution,” “water quality,” “health,” “diarrhea,” “skin disease,” “cancer” and “children” to search Web of Science and Google Scholar include SCI and SSCI indexed papers, research reports, and works from 1990 to 2021.

Inclusion-Exclusion Criteria and Data Extraction Process

The existing literature shows that water pollution and human health are important research topics in health economics, and scholars have conducted in-depth research. As of 30 December 2021, 104 related literatures were searched, including research papers, reviews and conference papers. Then, according to the content relevancy, 19 papers were eliminated, and 85 papers remained. The purpose of this review is to summarize the impact of water pollution on human health and its disease heterogeneity and to explore how to improve human health by improving water pollution control measures.

Information extracted from all included papers included: author, publication date, sample country, study methodology, study purpose, and key findings. All analysis results will be analyzed according to the process in Figure 1 .

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FIGURE 1 . Data extraction process (PRISMA).

The relevant information of the paper is exported to the Excel database through Endnote, and the duplicates are deleted. The results were initially extracted by one researcher and then cross-checked by another researcher to ensure that all data had been filtered and reviewed. If two researchers have different opinions, the two researchers will review together until a final agreement is reached.

Quality Assessment of the Literature

The JBI Critical Appraisal Checklist was used to evaluate the quality of each paper. The JBI (Joanna Briggs Institute) key assessment tool was developed by the JBI Scientific Committee after extensive peer review and is designed for system review. All features of the study that meet the following eight criteria are included in the final summary:1) clear purpose; 2) Complete information of sample variables; 3) Data basis; 4) the validity of data sorting; 5) ethical norms; (6); 7) Effective results; 8) Apply appropriate quantitative methods and state the results clearly. Method quality is evaluated by the Yes/No questions listed in the JBI Key Assessment List. Each analysis paper received 6 out of 8.

The quality of drinking water is an essential factor affecting human health. Poor drinking water quality has led to the occurrence of water-borne diseases. According to the World Health Organization (WHO) survey, 80% of the world’s diseases and 50% of the world’s child deaths are related to poor drinking water quality, and there are more than 50 diseases caused by poor drinking water quality. The quality of drinking water in developing countries is worrying. The negative health effects of water pollution remain the leading cause of morbidity and mortality in developing countries. Different from the existing literature review, this paper mainly studies the impact of water pollution on human health according to the heterogeneity of diseases. We focuses on diarrhea, skin diseases, cancer, child health, etc., and sorts out the main effects of water pollution on human health ( Table 1 ).

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TABLE 1 . Major studies on the relationship between water pollution and health.

Water Pollution and Diarrhea

Diarrhea is a common symptom of gastrointestinal diseases and the most common disease caused by water pollution. Diarrhea is a leading cause of illness and death in young children in low-income countries. Diarrhoeal diseases account for 21% of annual deaths among children under 5 years of age in developing countries ( Waddington et al., 2009 ). Many infectious agents associated with diarrhea are directly related to contaminated water ( Ahmed and Ismail, 2018 ). Parasitic worms present in non-purifying drinking water when is consumed by human beings causes diseases ( Ansari and Akhmatov., 2020 ) . It was found that treated water from water treatment facilities was associated with a lower risk of diarrhea than untreated water for all ages ( Clasen et al., 2015 ). For example, in the southern region of Brazil, a study found that factors significantly associated with an increased risk of mortality from diarrhoea included lack of plumbed water, lack of flush toilets, poor housing conditions, and overcrowded households. Households without access to piped water had a 4.8 times higher risk of infant death from diarrhea than households with access to piped water ( Victora et al., 1988 )

Enteroviruses exist in the aquatic environment. More than 100 pathogenic viruses are excreted in human and animal excreta and spread in the environment through groundwater, estuarine water, seawater, rivers, sewage treatment plants, insufficiently treated water, drinking water, and private wells ( Fong and Lipp., 2005 ). A study in Pakistan showed that coliform contamination was found in some water sources. Improper disposal of sewage and solid waste, excessive use of pesticides and fertilizers, and deteriorating pipeline networks are the main causes of drinking water pollution. The main source of water-borne diseases such as gastroenteritis, dysentery, diarrhea, and viral hepatitis in this area is the water pollution of coliform bacteria ( Khan et al., 2013 ). Therefore, the most important role of water and sanitation health interventions is to hinder the transmission of diarrheal pathogens from the environment to humans ( Waddington et al., 2009 ).

Meta-analyses are the most commonly used method for water quality and diarrhea studies. It was found that improving water supply and sanitation reduced the overall incidence of diarrhea by 26%. Among Malaysian infants, having clean water and sanitation was associated with an 82% reduction in infant mortality, especially among infants who were not breastfed ( Esrey et al., 1991 ). All water quality and sanitation interventions significantly reduced the risk of diarrhoeal disease, and water quality interventions were found to be more effective than previously thought. Multiple interventions (including water, sanitation, and sanitation measures) were not more effective than single-focus interventions ( Fewtrell and Colford., 2005 ). Water quality interventions reduced the risk of diarrhoea in children and reduced the risk of E. coli contamination of stored water ( Arnold and Colford., 2007 ). Interventions to improve water quality are generally effective in preventing diarrhoea in children of all ages and under 5. However, some trials showed significant heterogeneity, which may be due to the research methods and their conditions ( Clasen et al., 2007 ).

Water Pollution and Skin Diseases

Contrary to common sense that swimming is good for health, studies as early as the 1950s found that the overall disease incidence in the swimming group was significantly higher than that in the non-swimming group. The survey shows that the incidence of the disease in people under the age of 10 is about 100% higher than that of people over 10 years old. Skin diseases account for a certain proportion ( Stevenson, 1953 ). A prospective epidemiological study of beach water pollution was conducted in Hong Kong in the summer of 1986–1987. The study found that swimmers on Hong Kong’s coastal beaches were more likely than non-swimmers to complain of systemic ailments such as skin and eyes. And swimming in more polluted beach waters has a much higher risk of contracting skin diseases and other diseases. Swimming-related disease symptom rates correlated with beach cleanliness ( Cheung et al., 1990 ).

A study of arsenic-affected villages in the southern Sindh province of Pakistan emphasized that skin diseases were caused by excessive water quality. By studying the relationship between excessive arsenic in drinking water caused by water pollution and skin diseases (mainly melanosis and keratosis), it was found that compared with people who consumed urban low-arsenic drinking water, the hair of people who consumed high-arsenic drinking water arsenic concentration increased significantly. The level of arsenic in drinking water directly affects the health of local residents, and skin disease is the most common clinical complication of arsenic poisoning. There is a correlation between arsenic concentrations in biological samples (hair and blood) from patients with skin diseases and intake of arsenic-contaminated drinking water ( Kazi et al., 2009 ). Another Bangladesh study showed that many people suffer from scabies due to river pollution ( Hanif et al., 2020 ). Not only that, but water pollution from industry can also cause skin cancer ( Arif et al., 2020 ).

Studies using meta-analysis have shown that exposure to polluted Marine recreational waters can have adverse consequences, including frequent skin discomfort (such as rash or itching). Skin diseases in swimmers may be caused by a variety of pathogenic microorganisms ( Yau et al., 2009 ). People (swimmers and non-swimmers) exposed to waters above threshold levels of bacteria had a higher relative risk of developing skin disease, and levels of bacteria in seawater were highly correlated with skin symptoms.

Studies have also suggested that swimmers are 3.5 times more likely to report skin diseases than non-swimmers. This difference may be a “risk perception bias” at work on swimmers, who are generally aware that such exposure may lead to health effects and are more likely to detect and report skin disorders. It is also possible that swimmers exaggerated their symptoms, reporting conditions that others would not classify as true skin disorders ( Fleisher and Kay. 2006 ).

Water Pollution and Cancer

According to WHO statistics, the number of cancer patients diagnosed in 2020 reached 19.3 million, while the number of deaths from cancer increased to 10 million. Currently, one-fifth of all global fevers will develop cancer during their lifetime. The types and amounts of carcinogens present in drinking water will vary depending on where they enter: contamination of the water source, water treatment processes, or when the water is delivered to users ( Morris, 1995 ).

From the perspective of water sources, arsenic, nitrate, chromium, etc. are highly associated with cancer. Ingestion of arsenic from drinking water can cause skin cancer and kidney and bladder cancer ( Marmot et al., 2007 ). The risk of cancer in the population from arsenic in the United States water supply may be comparable to the risk from tobacco smoke and radon in the home environment. However, individual susceptibility to the carcinogenic effects of arsenic varies ( Smith et al., 1992 ). A high association of arsenic in drinking water with lung cancer was demonstrated in a northern Chilean controlled study involving patients diagnosed with lung cancer and a frequency-matched hospital between 1994 and 1996. Studies have also shown a synergistic effect of smoking and arsenic intake in drinking water in causing lung cancer ( Ferreccio et al., 2000 ). Exposure to high arsenic levels in drinking water was also associated with the development of liver cancer, but this effect was not significant at exposure levels below 0.64 mg/L ( Lin et al., 2013 ).

Nitrates are a broader contaminant that is more closely associated with human cancers, especially colorectal cancer. A study in East Azerbaijan confirmed a significant association between colorectal cancer and nitrate in men, but not in women (Maleki et al., 2021). The carcinogenic risk of nitrates is concentration-dependent. The risk increases significantly when drinking water levels exceed 3.87 mg/L, well below the current drinking water standard of 50 mg/L. Drinking water with nitrate concentrations lower than current drinking water standards also increases the risk of colorectal cancer ( Schullehner et al., 2018 ).

Drinking water with high chromium content will bring high carcinogenicity caused by hexavalent chromium to residents. Drinking water intake of hexavalent chromium experiments showed that hexavalent chromium has the potential to cause human respiratory cancer. ( Zhitkovich, 2011 ). A case from Changhua County, Taiwan also showed that high levels of chromium pollution were associated with gastric cancer incidence ( Tseng et al., 2018 ).

There is a correlation between trihalomethane (THM) levels in drinking water and cancer mortality. Bladder and brain cancers in both men and women and non-Hodgkin’s lymphoma and kidney cancer in men were positively correlated with THM levels, and bladder cancer mortality had the strongest and most consistent association with THM exposure index ( Cantor et al., 1978 ).

From the perspective of water treatment process, carcinogens may be introduced during chlorine treatment, and drinking water is associated with all cancers, urinary cancers and gastrointestinal cancers ( Page et al., 1976 ). Chlorinated byproducts from the use of chlorine in water treatment are associated with an increased risk of bladder and rectal cancer, with perhaps 5,000 cases of bladder and 8,000 cases of rectal cancer occurring each year in the United States (Morris, 1995).

The impact of drinking water pollutants on cancer is complex. Epidemiological studies have shown that drinking water contaminants, such as chlorinated by-products, nitrates, arsenic, and radionuclides, are associated with cancer in humans ( Cantor, 1997 ). Pb, U, F- and no3- are the main groundwater pollutants and one of the potential causes of cancer ( Kaur et al., 2021 ). In addition, many other water pollutants are also considered carcinogenic, including herbicides and pesticides, and fertilizers that contain and release nitrates ( Marmot et al., 2007 ). A case from Hebei, China showed that the contamination of nitrogen compounds in well water was closely related to the use of nitrogen fertilizers in agriculture, and the levels of three nitrogen compounds in well water were significantly positively correlated with esophageal cancer mortality ( Zhang et al., 2003 ).

In addition, due to the time-lag effect, the impact of watershed water pollution on cancer is spatially heterogeneous. The mortality rate of esophageal cancer caused by water pollution is significantly higher downstream than in other regions due to the impact of historical water pollution ( Xu et al., 2019 ). A study based on changes in water quality in the watershed showed that a grade 6 deterioration in water quality resulted in a 9.3% increase in deaths from digestive cancer. ( Ebenstein, 2012 ).

Water Pollution and Child Health

Diarrhea is a common disease in children. Diarrhoeal diseases (including cholera) kill 1.8 million people each year, 90 per cent of them children under the age of five, mostly in developing countries. 88% of diarrhoeal diseases are caused by inadequate water supply, sanitation and hygiene (Team, 2004). A large proportion of these are caused by exposure to microbially infected water and food, and diarrhea in infants and young children can lead to malnutrition and reduced immune resistance, thereby increasing the likelihood of prolonged and recurrent diarrhea ( Marino, 2007 ). Pollution exposure experienced by children during critical periods of development is associated with height loss in adulthood ( Zaveri et al., 2020 ). Diseases directly related to water and sanitation, combined with malnutrition, also lead to other causes of death, such as measles and pneumonia. Child malnutrition and stunting due to inadequate water and sanitation will continue to affect more than one-third of children in the world ( Bartlett, 2003 ). A study from rural India showed that children living in households with tap water had significantly lower disease prevalence and duration ( Jalan and Ravallion, 2003 ).

In conclusion, water pollution is a significant cause of childhood diseases. Air, water, and soil pollution together killed 940,000 children worldwide in 2016, two-thirds of whom were under the age of 5, and the vast majority occurred in low- and middle-income countries ( Landrigan et al., 2018 ). The intensity of industrial organic water pollution is positively correlated with infant mortality and child mortality in less developed countries, and industrial water pollution is an important cause of infant and child mortality in less developed countries ( Jorgenson, 2009 ). In addition, arsenic in drinking water is a potential carcinogenic risk in children (García-Rico et al., 2018). Nitrate contamination in drinking water may cause goiter in children ( Vladeva et al.., 2000 ).

Discussions

This paper reviews the environmental science, health, and medical literature, with a particular focus on epidemiological studies linking water quality, water pollution, and human disease, as well as studies on water-related disease morbidity and mortality. At the same time, special attention is paid to publications from the United Nations and the World Health Organization on water and sanitation health research. The purpose of this paper is to clarify the relationship between water pollution and human health, including: The relationship between water pollution and diarrhea, the mechanism of action, and the research situation of meta-analysis; The relationship between water pollution and skin diseases, pathogenic factors, and meta-analysis research; The relationship between water pollution and cancer, carcinogenic factors, and types of cancer; The relationship between water pollution and Child health, and the major childhood diseases caused.

A study of more than 100 literatures found that although factors such as country, region, age, and gender may have different influences, in general, water pollution has a huge impact on human health. Water pollution is the cause of many human diseases, mainly diarrhoea, skin diseases, cancer and various childhood diseases. The impact of water pollution on different diseases is mainly reflected in the following aspects. Firstly, diarrhea is the most easily caused disease by water pollution, mainly transmitted by enterovirus existing in the aquatic environment. The transmission environment of enterovirus depends on includes groundwater, river, seawater, sewage, drinking water, etc. Therefore, it is necessary to prevent the transmission of enterovirus from the environment to people through drinking water intervention. Secondly, exposure to or use of heavily polluted water is associated with a risk of skin diseases. Excessive bacteria in seawater and heavy metals in drinking water are the main pathogenic factors of skin diseases. Thirdly, water pollution can pose health risks to humans through any of the three links: the source of water, the treatment of water, and the delivery of water. Arsenic, nitrate, chromium, and trihalomethane are major carcinogens in water sources. Carcinogens may be introduced during chlorine treatment from water treatment. The effects of drinking water pollution on cancer are complex, including chlorinated by-products, heavy metals, radionuclides, herbicides and pesticides left in water, etc., Finally, water pollution is an important cause of children’s diseases. Contact with microbiologically infected water can cause diarrhoeal disease in children. Malnutrition and weakened immunity from diarrhoeal diseases can lead to other diseases.

This study systematically analyzed the impact of water pollution on human health and the heterogeneity of diseases from the perspective of different diseases, focusing on a detailed review of the relationship, mechanism and influencing factors of water pollution and diseases. From the point of view of limitations, this paper mainly focuses on the research of environmental science and environmental management, and the research on pathology is less involved. Based on this, future research can strengthen research at medical and pathological levels.

In response to the above research conclusions, countries, especially developing countries, need to adopt corresponding water management policies to reduce the harm caused by water pollution to human health. Firstly, there is a focus on water quality at the point of use, with interventions to improve water quality, including chlorination and safe storage ( Gundry et al., 2004 ), and provision of treated and clean water ( Khan et al., 2013 ). Secondly, in order to reduce the impact of water pollution on skin diseases, countries should conduct epidemiological studies on their own in order to formulate health-friendly bathing water quality standards suitable for their specific conditions ( Cheung et al., 1990 ). Thirdly, in order to reduce the cancer caused by water pollution, the whole-process supervision of water quality should be strengthened, that is, the purity of water sources, the scientific nature of water treatment and the effectiveness of drinking water monitoring. Fourthly, each society should prevent and control source pollution from production, consumption, and transportation ( Landrigan et al., 2018 ). Fifthly, health education is widely carried out. Introduce environmental education, educate residents on sanitary water through newspapers, magazines, television, Internet and other media, and enhance public health awareness. Train farmers to avoid overuse of agricultural chemicals that contaminate drinking water.

Author Contributions

Conceptualization, XX|; methodology, LL; data curation, HY; writing and editing, LL; project administration, XX|.

This article is a phased achievement of The National Social Science Fund of China: Research on the blocking mechanism of the critical poor households returning to poverty due to illness, No: 20BJY057.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Afroz, R., Rahman, A., and Rahman, A. (2017). Health Impact of River Water Pollution in Malaysia. Int. J. Adv. Appl. Sci. 4 (5), 78–85. doi:10.21833/ijaas.2017.05.014

CrossRef Full Text | Google Scholar

Ahmed, S., and Ismail, S. (2018). Water Pollution and its Sources, Effects and Management: a Case Study of Delhi. Int. J. Curr. Adv. Res. 7 (2), 10436–10442. doi:10.24327/ijcar.2018.10442.1768

Ansari, Z. Z., and Akhmatov, S. V. (2020). Impacts of Water Pollution on Human Health: A Case Study of Delhi .

Google Scholar

Arif, A., Malik, M. F., Liaqat, S., Aslam, A., Mumtaz, K., and Afzal, A. (2020). 3. Water Pollution and Industries. Pure Appl. Biol. (PAB) 9 (4), 2214–2224. doi:10.19045/bspab.2020.90237

Arnold, B. F., and Colford, J. M. (2007). Treating Water with Chlorine at Point-Of-Use to Improve Water Quality and Reduce Child Diarrhea in Developing Countries: a Systematic Review and Meta-Analysis. Am. J. Trop. Med. Hyg. 76 (2), 354–364. doi:10.4269/ajtmh.2007.76.354

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartlett, S. (2003). Water, Sanitation and Urban Children: the Need to Go beyond “Improved” Provision. Environ. Urbanization 15 (2), 57–70. doi:10.1177/095624780301500220

Bessong, P. O., Odiyo, J. O., Musekene, J. N., and Tessema, A. (2009). Spatial Distribution of Diarrhoea and Microbial Quality of Domestic Water during an Outbreak of Diarrhoea in the Tshikuwi Community in Venda, South Africa. J. Health Popul. Nutr. 27 (5), 652–659. doi:10.3329/jhpn.v27i5.3642

Boldo, E., MartÍN-Olmedo, P., Medina, S., Pirard, P., Mouly, D., and Beaudeau, P. (2006). Towards the Quantification of Health Impacts Caused by Drinking-Water Pollution in European Countries. Epidemiology 17 (6), S447. doi:10.1097/00001648-200611001-01198

Brown, J., and Clasen, T. (2012). High Adherence Is Necessary to Realize Health Gains from Water Quality Interventions. PLoS ONE 7 (5), e36735–9. doi:10.1371/journal.pone.0036735

Cantor, K. P., Hoover, R., Mason, T. J., and McCabe, L. J. (1978). Associations of Cancer Mortality with Halomethanes in Drinking Water. J. Natl. Cancer Inst. 61 (4), 979

PubMed Abstract | Google Scholar

Cantor, K. P. (1997). Drinking Water and Cancer. Cancer Causes Control CCC 8 (3), 292–308. doi:10.1023/a:1018444902486

Chen, B., Wang, M., Duan, M., Ma, X., Hong, J., Xie, F., et al. (2019). In Search of Key: Protecting Human Health and the Ecosystem from Water Pollution in China. J. Clean. Prod. 228, 101–111. doi:10.1016/j.jclepro.2019.04.228

Cheung, W. H. S., Chang, K. C. K., Hung, R. P. S., and Kleevens, J. W. L. (1990). Health Effects of Beach Water Pollution in Hong Kong. Epidemiol. Infect. 105 (1), 139–162. doi:10.1017/s0950268800047737

Cheung, W. H. S., Hung, R. P. S., Chang, K. C. K., and Kleevens, J. W. L. (1991). Epidemiological Study of Beach Water Pollution and Health-Related Bathing Water Standards in Hong Kong. Water Sci. Technol. 23 (1-3), 243–252. doi:10.2166/wst.1991.0422

Chowdhary, P., Bharagava, R. N., Mishra, S., and Khan, N. (2020). Role of Industries in Water Scarcity and its Adverse Effects on Environment and Human Health. Environ. Concerns Sustain. Dev. , 235–256. doi:10.1007/978-981-13-5889-0_12

Clasen, T. F., Alexander, K. T., Sinclair, D., Boisson, S., Peletz, R., Chang, H. H., et al. (2015). Interventions to Improve Water Quality for Preventing Diarrhoea. Cochrane Database Syst. Rev. 10, CD004794. doi:10.1002/14651858.CD004794.pub3

Clasen, T., Schmidt, W.-P., Rabie, T., Roberts, I., and Cairncross, S. (2007). Interventions to Improve Water Quality for Preventing Diarrhoea: Systematic Review and Meta-Analysis. Bmj 334 (7597), 782. doi:10.1136/bmj.39118.489931.be

Conroy, R. M., Elmore-Meegan, M., Joyce, T., McGuigan, K. G., and Barnes, J. (1996). Solar Disinfection of Drinking Water and Diarrhoea in Maasai Children: a Controlled Field Trial. Lancet 348 (9043), 1695–1697. doi:10.1016/s0140-6736(96)02309-4

Dasgupta, P. (2004). Valuing Health Damages from Water Pollution in Urban Delhi, India: a Health Production Function Approach. Envir. Dev. Econ. 9 (1), 83–106. doi:10.1017/s1355770x03001098

Dwivedi, S., Mishra, S., and Tripathi, R. D. (2018). Ganga Water Pollution: A Potential Health Threat to Inhabitants of Ganga Basin. Environ. Int. 117, 327–338. doi:10.1016/j.envint.2018.05.015

Ebenstein, A. (2012). The Consequences of Industrialization: Evidence from Water Pollution and Digestive Cancers in China. Rev. Econ. Statistics 94 (1), 186–201. doi:10.1162/rest_a_00150

El-Kowrany, S. I., El- Zamarany, E. A., El-Nouby, K. A., El-Mehy, D. A., Abo Ali, E. A., and Othman, A. A. (2016). Water Pollution in the Middle Nile Delta, Egypt: an Environmental Study. J. Adv. Res. 7 (5), 781–794. doi:10.1016/j.jare.2015.11.005

Enrique Biagini, R. (1975). Chronic Arsenic Water Pollution in the Republic of Argentina. Med. Cutan. Ibero Lat. Am. 3 (6), 423

Esrey, S. A., Potash, J. B., Roberts, L., and Shiff, C. (1991). Effects of Improved Water Supply and Sanitation on Ascariasis, Diarrhoea, Dracunculiasis, Hookworm Infection, Schistosomiasis, and Trachoma. Bull. World Health Organ 69 (5), 609

Ferreccio, C., González, C., Milosavjlevic, V., Marshall, G., Sancha, A. M., and Smith, A. H. (2000). Lung Cancer and Arsenic Concentrations in Drinking Water in Chile. Epidemiology 11 (6), 673–679. doi:10.1097/00001648-200011000-00010

Fewtrell, L., and Colford, J. M. (2005). Water, Sanitation and Hygiene in Developing Countries: Interventions and Diarrhoea-A Review. Water Sci. Technol. A J. Int. Assoc. Water Pollut. Res. 52 (8), 133–142. doi:10.2166/wst.2005.0244

Fitzgerald, E. F., Schell, L. M., Marshall, E. G., Carpenter, D. O., Suk, W. A., and Zejda, J. E. (1998). Environmental Pollution and Child Health in Central and Eastern Europe. Environ. Health Perspect. 106 (6), 307–311. doi:10.1289/ehp.98106307

Fleisher, J. M., and Kay, D. (2006). Risk Perception Bias, Self-Reporting of Illness, and the Validity of Reported Results in an Epidemiologic Study of Recreational Water Associated Illnesses. Mar. Pollut. Bull. 52 (3), 264–268. doi:10.1016/j.marpolbul.2005.08.019

Fong, T.-T., and Lipp, E. K. (2005). Enteric Viruses of Humans and Animals in Aquatic Environments: Health Risks, Detection, and Potential Water Quality Assessment Tools. Microbiol. Mol. Biol. Rev. 69 (2), 357–371. doi:10.1128/mmbr.69.2.357-371.2005

Froom, P. (2009). Water Pollution and Cancer in Israeli Navy Divers. Int. J. Occup. Environ. Health 15 (3), 326–328. doi:10.1179/oeh.2009.15.3.326

Gundry, S., Wright, J., and Conroy, R. (2004). A Systematic Review of the Health Outcomes Related to Household Water Quality in Developing Countries. J. water health 2 (1), 1–13. doi:10.2166/wh.2004.0001

Halder, J., Islam, N., and Islam, N. (2015). Water Pollution and its Impact on the Human Health. Eh 2 (1), 36–46. doi:10.15764/eh.2015.01005

Hanif, M., Miah, R., Islam, M., and Marzia, S. (2020). Impact of Kapotaksha River Water Pollution on Human Health and Environment. Prog. Agric. 31 (1), 1–9. doi:10.3329/pa.v31i1.48300

Haseena, M., Malik, M. F., Javed, A., Arshad, S., Asif, N., Zulfiqar, S., et al. (2017). Water Pollution and Human Health. Environ. Risk Assess. Remediat. 1 (3), 20. doi:10.4066/2529-8046.100020

Henry, F. J., Huttly, S. R. A., Patwary, Y., and Aziz, K. M. A. (1990). Environmental Sanitation, Food and Water Contamination and Diarrhoea in Rural Bangladesh. Epidemiol. Infect. 104 (2), 253–259. doi:10.1017/s0950268800059422

Jalan, J., and Ravallion, M. (2003). Does Piped Water Reduce Diarrhea for Children in Rural India? J. Econ. 112 (1), 153–173. doi:10.1016/s0304-4076(02)00158-6

Jensen, P. K., Jayasinghe, G., Hoek, W., Cairncross, S., and Dalsgaard, A. (2004). Is There an Association between Bacteriological Drinking Water Quality and Childhood Diarrhoea in Developing Countries? Trop. Med. Int. Health 9 (11), 1210–1215. doi:10.1111/j.1365-3156.2004.01329.x

Jorgenson, A. K. (2009). Foreign Direct Investment and the Environment, the Mitigating Influence of Institutional and Civil Society Factors, and Relationships between Industrial Pollution and Human Health. Organ. Environ. 22 (2), 135–157. doi:10.1177/1086026609338163

Kaur, G., Kumar, R., Mittal, S., Sahoo, P. K., and Vaid, U. (2021). Ground/drinking Water Contaminants and Cancer Incidence: A Case Study of Rural Areas of South West Punjab, India. Hum. Ecol. Risk Assess. Int. J. 27 (1), 205–226. doi:10.1080/10807039.2019.1705145

Kazi, T. G., Arain, M. B., Baig, J. A., Jamali, M. K., Afridi, H. I., Jalbani, N., et al. (2009). The Correlation of Arsenic Levels in Drinking Water with the Biological Samples of Skin Disorders. Sci. Total Environ. 407 (3), 1019–1026. doi:10.1016/j.scitotenv.2008.10.013

Khan, S., Shahnaz, M., Jehan, N., Rehman, S., Shah, M. T., and Din, I. (2013). Drinking Water Quality and Human Health Risk in Charsadda District, Pakistan. J. Clean. Prod. 60, 93–101. doi:10.1016/j.jclepro.2012.02.016

Kochhar, N., Gill, G. S., Tuli, N., Dadwal, V., and Balaram, V. (2007). Chemical Quality of Ground Water in Relation to Incidence of Cancer in Parts of SW Punjab, India. Asian J. Water, Environ. Pollut. 4 (2), 107 doi:10.1086/114154

Kumar, S., Meena, H. M., and Verma, K. (2017). Water Pollution in India: its Impact on the Human Health: Causes and Remedies. Int. J. Appl. Environ. Sci. 12 (2), 275

Lai, W. (2017). Pesticide Use and Health Outcomes: Evidence from Agricultural Water Pollution in China. J. Environ. Econ. Manag. 86, 93–120. doi:10.1016/j.jeem.2017.05.006

Landrigan, P. J., Fuller, R., Fisher, S., Suk, W. A., Sly, P., Chiles, T. C., et al. (2018). Pollution and Children's Health. Sci. Total Environ. 650 (Pt 2), 2389–2394. doi:10.1016/j.scitotenv.2018.09.375

Lin, H.-J., Sung, T.-I., Chen, C.-Y., and Guo, H.-R. (2013). Arsenic Levels in Drinking Water and Mortality of Liver Cancer in Taiwan. J. Hazard. Mater. 262, 1132–1138. doi:10.1016/j.jhazmat.2012.12.049

Lu, Y., Song, S., Wang, R., Liu, Z., Meng, J., Sweetman, A. J., et al. (2015). Impacts of Soil and Water Pollution on Food Safety and Health Risks in China. Environ. Int. 77, 5–15. doi:10.1016/j.envint.2014.12.010

Marino, D. D. (2007). Water and Food Safety in the Developing World: Global Implications for Health and Nutrition of Infants and Young Children. J. Am. Dietetic Assoc. 107 (11), 1930–1934. doi:10.1016/j.jada.2007.08.013

Marmot, M., Atinmo, T., Byers, T., Chen, J., and Zeisel, S. H. (2007). Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. Nutr. Bull.

Marr, A., and Dasgupta, N. (2009). Industrial Water Pollution in Dhaka, Bangladesh: Strategies and Incentives for Pollution Control in Small and Medium Enterprises. Int. J. Interdiscip. Soc. Sci. Annu. Rev. 3 (11), 97–108. doi:10.18848/1833-1882/cgp/v03i11/52752

Morris, R. D. (1995). Drinking Water and Cancer. Environ. Health Perspect. 103, 225. doi:10.2307/3432315

Moss, B. (2008). Water Pollution by Agriculture. Phil. Trans. R. Soc. B 363 (1491), 659–666. doi:10.1098/rstb.2007.2176

Page, T., Harris, R. H., and Epstein, S. S. (1976). Drinking Water and Cancer Mortality in Louisiana. Science 193 (4247), 55–57. doi:10.1126/science.935854

Pandey, S. (2006). Water Pollution and Health. Kathmandu Univ. Med. J. (KUMJ) 4 (1), 128. doi:10.1016/j.crvi.2013.04.013

Parris, K. (2011). Impact of Agriculture on Water Pollution in OECD Countries: Recent Trends and Future Prospects. Int. J. Water Resour. Dev. 27 (1), 33–52. doi:10.1080/07900627.2010.531898

Payment, P., Siemiatycki, J., Richardson, L., Renaud, G., Franco, E., and Prevost, M. (1997). A Prospective Epidemiological Study of Gastrointestinal Health Effects Due to the Consumption of Drinking Water. Int. J. Environ. Health Res. 7 (1), 5–31. doi:10.1080/09603129773977

Rabbani, M., Chowdhury, M., and Khan, N. A. (2010). Impacts of Industrial Pollution on Human Health: Empirical Evidences from an Industrial Hotspot (Kaliakoir) in Bangladesh. Asian J. Water, Environ. Pollut. 7 (1), 27

Rajal, V. B., Cruz, C., and Last, J. A. (2010). Water Quality Issues and Infant Diarrhoea in a South American Province. Glob. Public Health 5 (4), 348–363. doi:10.1080/17441690802447267

Rampen, F. H. J., Nelemans, P. J., and Verbeek, A. L. (1992). Is Water Pollution a Cause of Cutaneous Melanoma? Epidemiology 3, 263–265. doi:10.1097/00001648-199205000-00013

Royal Commission for Environmental Pollution 1979 Seventh Report. Agriculture and Pollution . London, UK: H.M.S.O .

Rusiñol, M., Fernandez-Cassi, X., Timoneda, N., Carratalà, A., and Abril, J. F. (2015). Evidence of Viral Dissemination and Seasonality in a Mediterranean River Catchment: Implications for Water Pollution Management. J. Environ. Manag. 159, 58–67. doi:10.1016/j.jenvman.2015.05.019

Schullehner, J., Hansen, B., Thygesen, M., Pedersen, C. B., and Sigsgaard, T. (2018). Nitrate in Drinking Water and Colorectal Cancer Risk: A Nationwide Population-Based Cohort Study. Int. J. Cancer 143 (1), 73–79. doi:10.1002/ijc.31306

Schwarzenbach, R. P., Egli, T., Hofstetter, T. B., Von Gunten, U., and Wehrli, B. (2010). Global Water Pollution and Human Health. Annu. Rev. Environ. Resour. 35, 109–136. doi:10.1146/annurev-environ-100809-125342

Sliman, N. A. (1978). Outbreak of Guillain-Barre Syndrome Associated with Water Pollution. Bmj 1 (6115), 751–752. doi:10.1136/bmj.1.6115.751

Smith, A. H., Hopenhayn-Rich, C., Bates, M. N., Goeden, H. M., Hertz-Picciotto, I., Duggan, H. M., et al. (1992). Cancer Risks from Arsenic in Drinking Water. Environ. Health Perspect. 97, 259–267. doi:10.1289/ehp.9297259

Stephens, J. K. (2002). Deterioration of Stored Domestic Water Quality and Diarrhoea in Zenu . University of Ghana .

Stevenson, A. H. (1953). Studies of Bathing Water Quality and Health. Am. J. Public Health Nations Health 43 (5 Pt 1), 529–538. doi:10.2105/ajph.43.5_pt_1.529

Team, S. H. (2004). Water, Sanitation and Hygiene Links to Health: Facts and Figures . World Health Organization .

Tondel, M., Rahman, M., Magnuson, A., Chowdhury, I. A., Faruquee, M. H., and Ahmad, S. A. (1999). The Relationship of Arsenic Levels in Drinking Water and the Prevalence Rate of Skin Lesions in Bangladesh. Environ. health Perspect. 107 (9), 727–729. doi:10.1289/ehp.99107727

Tseng, C.-H., Lei, C., and Chen, Y.-C. (2018). Evaluating the Health Costs of Oral Hexavalent Chromium Exposure from Water Pollution: A Case Study in Taiwan. J. Clean. Prod. 172, 819–826. doi:10.1016/j.jclepro.2017.10.177

Ustaoğlu, F., Tepe, Y., Taş, B., and Pag, N. (2020). Assessment of Stream Quality and Health Risk in a Subtropical Turkey River System: A Combined Approach Using Statistical Analysis and Water Quality Index. Ecol. Indic. , 113. doi:10.1016/j.ecolind.2019.105815

Vartiainen, T., Pukkala, E., Rienoja, T., Strandman, T., and Kaksonen, K. (1993). Population Exposure to Tri- and Tetrachloroethene and Cancer Risk: Two Cases of Drinking Water Pollution. Chemosphere 27 (7), 1171–1181. doi:10.1016/0045-6535(93)90165-2

Victora, C. G., Smith, P. G., Vaughan, J. P., Nobre, L. C., Lombard, C., Teixeira, A. M. B., et al. (1988). Water Supply, Sanitation and Housing in Relation to the Risk of Infant Mortality from Diarrhoea. Int. J. Epidemiol. 17 (3), 651–654. doi:10.1093/ije/17.3.651

Vladeva, S., Gatseva, P., and Gopina, G. (2000). Comparative Analysis of Results from Studies of Goitre in Children from Bulgarian Villages with Nitrate Pollution of Drinking Water in 1995 and 1998. Cent. Eur. J. Public Health 8 (3), 179

Waddington, H., Snilstveit, B., White, H., and Fewtrell, L. (2009). Water, Sanitation and Hygiene Interventions to Combat Childhood Diarrhoea in Developing Countries . New Delhi India Global Development Network International Initiative for Impact Evaluation Aug .

Witkowski, K. M., and Johnson, N. E. (1992). Organic-solvent Water Pollution and Low Birth Weight in Michigan. Soc. Biol. 39 (1-2), 45–54. doi:10.1080/19485565.1992.9988803

Wu, C., Maurer, C., Wang, Y., Xue, S., and Davis, D. L. (1999). Water Pollution and Human Health in China. Environ. Health Perspect. 107 (4), 251–256. doi:10.1289/ehp.99107251

Wu, H., Gai, Z., Guo, Y., Li, Y., Hao, Y., and Lu, Z. N. (2020). Does Environmental Pollution Inhibit Urbanization in China? A New Perspective through Residents' Medical and Health Costs. Environ. Res. 182 (Mar.), 109128–109128.9. doi:10.1016/j.envres.2020.109128

Xiao, J., Wang, L., Deng, L., and Jin, Z. (2019). Characteristics, Sources, Water Quality and Health Risk Assessment of Trace Elements in River Water and Well Water in the Chinese Loess Plateau. Sci. Total Environ. 650 (Pt 2), 2004–2012. doi:10.1016/j.scitotenv.2018.09.322

Xu, C., Xing, D., Wang, J., and Xiao, G. (2019). The Lag Effect of Water Pollution on the Mortality Rate for Esophageal Cancer in a Rapidly Industrialized Region in China. Environ. Sci. Pollut. Res. 26 (32), 32852–32858. doi:10.1007/s11356-019-06408-z

Xu, X., Wang, Q., and Li, C. (2022b). The Impact of Dependency Burden on Urban Household Health Expenditure and its Regional Heterogeneity in China: Based on Quantile Regression Method. Front. Public Health 10, 876088. doi:10.3389/fpubh.2022.876088

Xu, X., Yang, H., and Li, C. (2022a). Theoretical Model and Actual Characteristics of Air Pollution Affecting Health Cost: A Review. Ijerph 19, 3532. doi:10.3390/ijerph19063532

Yassin, M. M., Amr, S. S. A., and Al-Najar, H. M. (2006). Assessment of Microbiological Water Quality and its Relation to Human Health in Gaza Governorate, Gaza Strip. Public Health 120 (12), 1177. doi:10.1016/j.puhe.2006.07.026

Yau, V., Wade, T. J., de Wilde, C. K., and Colford, J. M. (2009). Skin-related Symptoms Following Exposure to Recreational Water: a Systematic Review and Meta-Analysis. Water Expo. Health 1 (2), 79–103. doi:10.1007/s12403-009-0012-9

Zaveri, E. D., Russ, J. D., Desbureaux, S. G., Damania, R., Rodella, A. S., and Ribeiro Paiva De Souza, G. (20203). The Nitrogen Legacy: The Long-Term Effects of Water Pollution on Human Capital . World Bank Policy Research Working Paper .

Zhang, X.-L., Bing, Z., Xing, Z., Chen, Z.-F., Zhang, J.-Z., Liang, S.-Y., et al. (2003). Research and Control of Well Water Pollution in High Esophageal Cancer Areas. Wjg 9 (6), 1187–1190. doi:10.3748/wjg.v9.i6.1187

Zhitkovich, A. (2011). Chromium in Drinking Water: Sources, Metabolism, and Cancer Risks. Chem. Res. Toxicol. 24 (10), 1617–1629. doi:10.1021/tx200251t

Keywords: water pollution, human health, disease heterogeneity, water intervention, health cost

Citation: Lin L, Yang H and Xu X (2022) Effects of Water Pollution on Human Health and Disease Heterogeneity: A Review. Front. Environ. Sci. 10:880246. doi: 10.3389/fenvs.2022.880246

Received: 21 February 2022; Accepted: 09 June 2022; Published: 30 June 2022.

Reviewed by:

Copyright © 2022 Lin, Yang and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xiaocang Xu, [email protected]

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Bioaerosol Emission Characteristics and the Epidemiological, Occupational, and Public Health Risk Assessment of Waste and Wastewater Management

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Waterborne illnesses now threaten flood-ravaged southern Brazil

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Cleaning houses affected by floods in Porto Alegre

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Brazil’s flooded south sees first deaths from disease, as experts warn of coming surge in fatalities

A man rows a boat on a street flooded by heavy rains, in Sao Leopoldo, Rio Grande do Sul state, Brazil, Saturday, May 11, 2024. (AP Photo/Andre Penner)

A man rows a boat on a street flooded by heavy rains, in Sao Leopoldo, Rio Grande do Sul state, Brazil, Saturday, May 11, 2024. (AP Photo/Andre Penner)

Vehicles travel along a lateral highway restored to allow the movement of humanitarian aid for those affected by floods caused by heavy rains, in Porto Alegre, Rio Grande do Sul state, Brazil, Saturday, May 11, 2024. (AP Photo/Wesley Santos)

A firefighter carries a girl rescued from an area flooded by heavy rains in Porto Alegre, Rio Grande do Sul state, Brazil, Saturday, May 4, 2024. (AP Photo/Carlos Macedo)

A drugstore employee recover items after a flood due to heavy rains, in Porto Alegre, Rio Grande do Sul state, Brazil, Saturday, May 11, 2024. (AP Photo/Andre Penner)

People rest in a shelter after their homes were flooded by heavy rains in Porto Alegre, Rio Grande do Sul state, Brazil, Saturday, May 4, 2024. (AP Photo/Carlos Macedo)

A boat navigates through a flooded street after heavy rain in Canoas, Rio Grande do Sul state, Brazil, Wednesday, May 8, 2024. (AP Photo/Carlos Macedo)

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SAO PAULO (AP) — The first two deaths from waterborne bacterial disease were reported in southern Brazil, where floodwaters were slowly receding, and health authorities warned additional fatalities were likely.

Rio Grande do Sul state’s health secretariat confirmed the death of a 33-year-old man due to leptospirosis on Wednesday. On Monday, authorities registered that a 67-year-old man had died from the same infectious disease. Since the beginning of May, 29 cases of the waterborne disease have been confirmed in the state.

The flooding over about two weeks killed at least 161 people, with 82 still missing, state authorities said Wednesday. More than 600,000 people were forced from their homes, including tens of thousands who remain in shelters, they said.

Health experts had previously forecast a surge in infectious diseases including leptospirosis and hepatitis B within a couple weeks of the floods , as sewage mixed into the floodwaters.

“There are those who die during the flood and there is the aftermath of the flood,” said Paulo Saldiva, a professor at the University of Sao Paulo medical school who researches the impacts of climate change in health. “The lack of potable water itself will mean that people will start using water from reservoirs that is not of good quality.”

The unprecedented disaster struck more than 80% of the state’s municipalities and damaged critical infrastructure. Over 3,000 health establishments — hospitals, pharmacies, health centers, and private clinics — were affected, according to a report from the federal government’s health research institute Fiocruz released Tuesday.

“The outbreak of leptospirosis cases was somewhat expected due to the number of people exposed to the water, as well as other diseases,” said Carlos Machado, a public health and environmental expert who Fiocruz appointed to track the flood’s impact. “We have never seen in Brazil a disaster of this size and with such a large exposed population.”

Machado said that even though infrastructure, basic control services and health services have been disrupted, the local health department is working to offer prophylaxis to infectious diseases and guidance to people returning home on how to reduce the exposure risks.

Interruption of health services can also have a lasting impact on patients treating chronic diseases, as treatment and care for chronic patients are discontinued, Machado said. People also often leave home during climate disasters without their prescriptions or identification.

“The health department is working hard to guarantee medication to patients with chronic diseases,” he said.

Follow AP’s climate and environment coverage at https://apnews.com/hub/climate-and-environment

research article on water borne diseases

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Ubiquitous waterborne pathogens

D.n. magana-arachchi.

1 Molecular Microbiology & Human Diseases Unit, National Institute of Fundamental Studies, Kandy, Sri Lanka

R.P. Wanigatunge

2 Department of Plant and Molecular Biology, University of Kelaniya, Kelaniya, Sri Lanka

Water is one of the most important substances on earth and without it life cannot exist. However, poor water quality in many parts of the world has increased the number of water-related diseases, making it the leading cause of disease and death globally for both young and old. Waterborne pathogens cause diseases in humans through two major exposure pathways: drinking water and recreational waters. This chapter on waterborne pathogens will be starting with an introduction, followed by descriptions on classical waterborne pathogens; bacteria, viruses, protozoans, and helminths placing emphasis on the World Health Organization guidelines. Further to conventional waterborne pathogens, fresh organisms and new strains from already known pathogens are being identified and that present important additional challenges to both the water and public health sectors. Hence later part of the chapter focuses on the potential waterborne pathogens and will conclude with a summary of the content.

1. Introduction

In July 2010, the United Nations General Assembly (UNGA) univocally recognized the human right to water and sanitation and acknowledged that clean drinking water and sanitation are essential to the realization of all human rights ( UNGA, 2010 ). However, due to inadequacy, unsafe, inaccessibility, and unaffordability of water, most of the people globally are deprived of this universal right. According to the Joint Monitoring Program (JMP) report, some 3 in 10 people worldwide, or 2.1 billion, lack access to safe, readily available water at home and 6 in 10, or 4.5 billion, lack safely managed sanitation ( WHO and UNICEF, 2017 ). Due to the global efforts, billions of people have gained access to basic drinking water and sanitation services since 2000, but people in many countries are still lacking clean water and proper sanitation in their homes, healthcare facilities, and schools. Hence health of all these people is at a risk, affecting mainly the infants and young children. Water, sanitation, and hygiene were responsible for 829,000 deaths from diarrheal disease in 2016. It is estimated that every year, 361,000 children under 5 years of age die because of diarrhea. In addition, poor sanitation and contaminated water are also linked to transmission of waterborne diseases such as cholera, dysentery, hepatitis A, and typhoid ( WHO and UNICEF, 2017 ).

In September 2015, Member States of the United Nations adopted the 2030 Agenda for Sustainable Development ( UNSD, 2015 ) and Goal 6 of Sustainable Development Goals is to “ Ensure availability and sustainable management of water and sanitation for all .” Targets were set by considering the freshwater cycle as a whole. Member States try to achieve these targets by improving the standard of water, sanitation, and hygiene (WASH) services; increasing treatment, recycling, and reuse of wastewater; improving efficiency and ensuring sustainable withdrawals; and protecting water-related ecosystems as part of an integrated approach to water resources management. They also address the means of implementation for achieving these development outcomes ( WHO and UNICEF, 2017 ).

A pathogen means an agent that causes disease to a host, and waterborne pathogens are the causative agents (usually living organisms) for diseases that are being transmitted through water. Water pollution can occur due to chemical and/or biological contaminants. These waterborne pathogens thrive in polluted waters, especially contaminated with human feces or/and urine. People could get exposed to these microorganisms while drinking water, by eating food prepared with contaminated water, bathing, during recreational activities, or even sometimes in healthcare facilities during dialysis. This exposure could be limited to an individual or it can be a community outbreak. The morbidity and mortality caused by contaminated water are enormous and it could only be controlled by providing microbiologically safe and toxin-free water for drinking, cooking, and other recreational activities.

Surface waters in most countries are polluted with pathogens and this is widely recorded in the developing world. Consumption of these waters leads to waterborne disease outbreaks (WBDOs) ( Patel et al., 2016 ). A recent study from China has shown that potentially pathogenic bacteria were ubiquitous across all of the 16 urban sampled surface waters, and Proteobacteria and Bacteroidetes were the most commonly detected phyla accounting for 21.9%–78.5% and 19.1%–74.7% of sequences, respectively ( Jin et al., 2018 ). Intermittent water supply (IWS) is being practiced throughout low- to middle-income countries. A study was conducted by Bivins et al. (2017) with existing data using reference pathogens Campylobacter , Cryptosporidium , and rotavirus (RV) as conservative risk proxies for infections via bacteria, protozoa, and viruses, respectively. Their findings indicated that the median daily risk of infection is 1 in 23,500 for Campylobacter , 1 in 5,050,000 for Cryptosporidium , and 1 in 118,000 for RV. Based on these risks, IWS may account for 17.2 million infections causing 4.52 million cases of diarrhea, 109,000 diarrheal disability-adjusted life years (DALYs), and 1560 deaths each year. The WHO health-based normative guideline for drinking water is 10 −6 DALYs per person per year and it is likely that the value of diarrheal disease associated with IWS will be surpassing the WHO value.

When ensuring clean water for drinking and other activities, proper management guidelines are needed to be followed. Preparation of these guidelines is not an easy task and it needs thorough understanding about the pathogenic nature of the organisms considering their shape, size, composition, and structure, their survival and behavior, and how they transmit in different waterbodies. Many countries use indicator organisms to assess the microbiological quality of drinking water. Most widely used bacteria are the enteric bacterial coliforms belonging to the family Enterobacteriaceae. In addition to being able to identify the microbial contamination of drinking water with human waste, these organisms are capable of identifying the fecal contaminations in waters used for recreational activities as well as in shellfish production. The presence of these pathogenic organisms in waterbodies is being monitored regularly in most developed countries as new tools are available to them due to the advances made in medical and scientific research. Modern technologies have also been incorporated into the water treatment plants for the effective removal or deactivation of these waterborne pathogens, thereby minimizing the outbreaks and the risk due to exposure.

In this chapter we will be focusing on the ubiquitous waterborne pathogens which cause deadly diseases and outbreaks affecting young and old globally. Etiological agents for substantial amount of waterborne diseases are “classical” waterborne pathogens. However, fresh organisms and new strains from already known pathogens are being identified and that present important additional challenges to both the water and public health sectors. Hence we will outline the potential waterborne pathogens including Helicobacter pylori , Tsukamurella , Cystoisospora belli , and Microsporidia and also Bacillus species and toxic cyanobacteria that needed to be paid attention to supply clean water, prevent mishaps, and protect and improve public health. Listed pathogens for this chapter were selected from the WHO Guidelines for drinking water quality, fourth edition ( 2011 ) and from Global Waterborne Pathogen Project (GWPP) ( Rusinol and Girones, 2017 ). Readers could gain extra knowledge on these organisms by referring to the original articles which are being included in the references. Furthermore, descriptive diagrams of these organisms can be found in the book chapter by Bridle (2013) .

2. Waterborne pathogens

This first section is based on ubiquitous waterborne pathogens including bacteria, viruses, protozoa, and helminths, which will be discussed in chronological order, and the causative diseases and mode of transmission are summarized schematically in Fig. 2.1 for the readers' benefit.

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Generalized overview of ubiquitous waterborne pathogens, route of transmission, and sites of infection.

2.1. Waterborne bacteria

Bacterial pathogens are classical etiological agents of waterborne diseases globally. These organisms can occur ubiquitously in many aquatic habitats and humid soils. They are an important part of the biocenosis in various substrates or water systems, especially in their preferred habitats, the biofilms. According to WHO, from the mortality of water-associated diseases, more than 50% are due to microbial intestinal infections. There are limitations in many of the established methods used in water quality assessments, and new approaches to health-related monitoring are being introduced by WHO that can overcome many of the weaknesses in current methods and provide additional tools for reducing disease risks ( WHO, 2003 ).

2.1.1. The genus Vibrio

Vibrios are small, curved-shaped or rods, facultative anaerobes with a single polar flagellum, belonging to family Vibrionaceae of order Vibrionales that are non–spore-forming and Gram-negative with a size of approximately 1.5–3.0 μm × 0.5 μm. Cells of Vibrio cholerae, Vibrio parahaemolyticus , and Vibrio vulnificus possess pili (fimbriae) structures comprising of protein TcpA. This TcpA formation is co-regulated with cholera toxin expression and is a key determinant of in vivo colonization.

These are primarily aquatic bacteria, common in marine and estuarine environments, living free or on the surfaces and in the intestinal contents of marine animals. Around 12 Vibrio species can infect humans. V. cholerae is, by far, the most important among them. Vibrio fluvialis , Grimontia hollisae (formerly Vibrio hollisae ), and Vibrio mimicus can cause diarrhea or infections of the gastrointestinal tract. Vibrio furnissii has been isolated from a few individuals with diarrhea, but there is no evidence that it can actually cause this pathology.

Cholera is a well-known disease since 19 th century and it is topping the list of microbial waterborne diseases. V. cholerae is a very diverse bacterial species. It has more than 200 serovarieties, characterized by the structure of the lipopolysaccharide (O antigens). Only serovarieties O1 and O139 are involved in true cholera ( Weintraub, 2003 ). Some other serovarieties can cause gastroenteritis. The serovariety O1 is subdivided into classical and El Tor biotypes based on their biochemical properties and phage susceptibilities. Only toxigenic strains have the CTXΦ segment (7–9.7 kb) of the chromosome and this carries at least six genes which have the potential to encode cholera toxin. During chromosome replication, the CTXΦ fragment is able to make an autonomous copy creating an independent plasmid. The plasmid produces virus-like particles, the CTXΦ bacteriophages, which in turn infect nontoxigenic strains ( Cabral, 2010 ). Epidemic and pandemic strains of V. cholerae contain another chromosomal segment designated as Vibrio Pathogenicity Island (VPI). VPI is 39.5 kb in size and contains two ToxR-regulated genes: a regulator of virulence genes (ToxT) and a gene cluster containing colonization factors, including the toxin co-regulated pili. Pathogen can be transmitted by the contaminated water or food via the fecal–oral route. V. cholerae O1 or O139 strains are common in estuaries being isolated from estuarine animals, such as birds, frogs, fishes, and shellfish, and are able to survive and multiply on the surface of phytoplankton and zooplankton cells.

2.1.2. The genus Salmonella

Salmonellae are rod-shaped, motile by peritrichous flagella, belonging to family Enterobacteriaceae of order Enterobacteriales that are non–spore-forming, Gram-negative bacteria with a size of a rod being 0.7–1.5 μm by 2.2–5.0 μm producing colonies approximately 2–4 mm in diameter. Salmonellae have several endotoxins: antigens O, H, and Vi.

Salmonella enterica subsp. enteric serovar Enteritidis is the most frequently isolated serovar from humans all over the world. However, other serovars can be predominant and each outbreak had been associated with a different serotype: Mbandaka, Livingstone, and Typhi Vi+. The major habitat of Salmonella is the intestinal tract of humans and animals and is frequently found in environmental samples because they are excreted by humans as well as animals. Municipal sewage, agricultural waste, and storm water runoff are the main sources of these pathogens in natural waters and they do not multiply much in natural environments but can survive several weeks in water and soil when environmental factors are favorable. Paratyphi or non-Typhi serovars of Salmonellae are more common in the environment. From environmental sources, 73% of the isolates were from tap water in which commonly observed organisms being serovars: Corvallis, Enteritidis, and Anatum ( Aissa et al., 2007 ). A study reported a total of 19 Salmonella serotypes in a comparative study carried out in rivers Aliakmon and Axios, in northern Greece ( Arvanitidou et al., 2005 ).

2.1.3. The genus Shigella

Shigellae are rod-shaped and nonmotile, belonging to family Enterobacteriaceae of order Enterobacteriales that are non–spore-forming, Gram-negative with a size of a cell being 0.4–0.6 μm by 1.0–3.0 μm long. There are four serogroups in Shigella : Shigella dysenteriae (serogroup A) with 1–15 serotypes, Shigella flexneri (serogroup B) serotypes 1–8 with 9 subtypes, Shigella boydii (serogroup C) with serotypes 1–19, and Shigella sonnei (serogroup D) with one serotype. The four serogroups differ in their epidemiology and outbreaks have been attributed to the community water supplies which were not properly chlorinated.

Shigella has a complex antigenic pattern and the serogrouping is based on their somatic O antigens. Shigella emerged from Escherichia coli during evolution. The acquisition and evolution of the pathogenicity island, which encodes all of the genes required for cell invasion and phagolysosomal lysis, permitted a major alteration in pathogenesis. Shigella is the causative agent for the disease shigellosis or bacillary dysentery, naturally spread by fecal-contaminated drinking water or food or by direct contact with an infected person and considered as a disease affecting the under developed displaced people who are lacking the basic hygienic facilities.

2.1.4. The genus Escherichia

Bacteria in genus Escherichia are rod-shaped, non–spore-forming, Gram-negative bacteria belonging to family Enterobacteriaceae of order Enterobacteriales. Commonly found E. coli have a size of 2.0–0.5 μm in diameter. E. coli is a natural and essential part of the bacterial flora in the gut of humans and animals. Most E. coli strains inhabiting colon are nonpathogenic, but certain serotypes have a role in intestinal and extraintestinal diseases, such as urinary tract infections.

There are six different groups of E. coli strains isolated from intestinal diseases based on epidemiological evidence, phenotypic traits, clinical features of the disease, and specific virulence factors. Among them, enterotoxigenic E. coli O148, enterohemorrhagic E. coli O157, and enteroinvasive E. coli O124 serotypes are major disease-causing organisms and can be transmitted through contaminated water.

Enterotoxigenic E. coli (ETEC) serotypes can cause infantile gastroenteritis. Disease is caused due to consumption of ETEC-contaminated food or water and is characterized by profuse watery diarrhea continuing for several days leading to dehydration and malnutrition in young children. ETEC serotype 148 is one of the causative agents of “travelers' diarrhea” that affects individuals who are involved in global traveling.

Shiga toxin-producing E. coli O157:H7 is considered as food and waterborne pathogen that causes diarrhea, hemorrhagic colitis, and hemolytic uremic syndrome (HUS) in humans in both sporadic cases and outbreaks ( Wasey and Salen, 2019 ). The incubation period is 3–4 days, and the symptoms last for 7–10 days. HUS associated with Shiga toxin-producing E . coli O157:H7 cause acute renal failure mostly in children. These bacteria are naturally not a concern in treated drinking water, but outbreaks related to consumption of contaminated water or use of surface water for recreational activities have been documented ( Bruneau et al., 2004 ). Enterohemorrhagic E . coli have also been isolated from ponds, streams, wells, and water troughs, and they can survive for months in manure and water-trough sediments. Personal contacts are an important mode of transmission and disease spread through the oral–fecal route.

Enteroinvasive E. coli act as same as Shigella . They are capable of invading and multiplying in the intestinal epithelial cells of the distal large bowel in humans. The illness is characterized by abdominal cramps, diarrhea, vomiting, fever, chills, a generalized malaise, and the appearance of blood and mucus in the stools of infected individuals. E. coli O124 had been isolated from cases of gastroenteritis, enterocolitis, and dysentery. Food prepared by using water contaminated with human waste could cause the disease in humans.

2.1.5. The genus Burkholderia

Bacteria in the genus Burkholderia are straight or slightly curved, rod-shaped, non–spore-forming and Gram-negative, and motile due to a single or multiple polar flagella except in one species, belonging to family Burkholderiaceae of order Burkholderiales. The genus comprises of 60 species of obligatory aerobes that are ubiquitous in nature and are waterborne pathogens. Clinically relevant species include Burkholderia cepacia complex species, Burkholderia pseudomallei , Burkholderia mallei , Burkholderia gladioli . B . pseudomallei is with a diameter of 0.8 μm, and a length of 1.5 μm can be present in soil or water whether it is surface or ground. Melioidosis is a life-threatening disease caused by B. pseudomallei and is endemic to southeast Asians and to northern Australians and randomly affects people living close to the equator. It is more common during the monsoon season than in dry months and literature confirms that it became more prevalent after 2004 Tsunami ( Currie et al., 2008 ).

Melioidosis has been reported from Thailand and the disease is highly endemic to the northeast. Most infected community is agricultural farmers with repeated environmental exposure ( Limmathurotsakul et al., 2013 ). Water supply–related melioidosis has also been documented and the disease could be acute or chronic. Signs and symptoms may include pain in the chest, bones, or joints; cough; skin infections, lung nodules, and pneumonia, which is a life-threatening infection that is estimated to account for nearly 89,000 deaths per year worldwide ( Wiersinga et al., 2018 ). Melioidosis is an emerging disease in Sri Lanka ( Corea et al., 2012 ).

2.1.6. The genus Campylobacter

The bacteria in genus Campylobacter are Gram-negative, 0.5–8 μm long, and 0.2–0.5 μm wide with characteristically curved, spiral, or S-shaped cells belonging to the family Campylobacteraceae in order Campylobacterales. This genus consists of 29 species and 12 subspecies. The most important Campylobacter species in human gastroenteritis is Campylobacter jejuni followed by Campylobacter coli , Campylobacter lari , and Campylobacter fetus . Campylobacter enteritis was the causative agent for 8.5% of the total burden of diarrheal disease, standing fourth after RV, cryptosporidiosis, and E. coli diarrhea (combined enterotoxigenic and enteropathogenic E. coli infections) ( Murray et al., 2012 ).

Disparities have been observed between developed and developing countries in the epidemiology and demography of Campylobacter infections. In developing countries, symptomatic disease is most commonly seen only during the first 2 years of life, and symptomatic illness in adults is scarce because of the endemic nature. In developed world, the most common symptoms include an acute, self-limiting gastroenteritis, with an incubation period of 2–5 days, whereas in developing nations, watery diarrhea is mostly observed. This is considered also as a zoonotic disease and wide variety of animals, especially poultry, wild birds, cattle, and sheep carry high numbers of C. jejuni and C. coli as commensals in their intestines. Fecal contamination of food, recreational water, and drinking water contributes to human infections and the fecal material of infected persons spread the organisms back to environment through sewage plants and toilets.

2.1.7. The genus Francisella

The genus Francisella is 0.7–1.7 μm in size, nonmotile, Gram-negative, strictly aerobic, and facultative intracellular coccobacilli species. The type species of the genus is the Francisella tularensis , which contains four subspecies, i.e., tularensis , holarctica , mediasiatica , and novicida . F. tularensis is a highly infectious bacterium causing disease in mammals including humans and a potential bioterror weapon ( Colquhoun et al., 2014 ). Tularemia is a zoonotic infection caused by F. tularensis mainly transmitted to humans through arthropod bites, direct contact with infected animals, and inhalation or ingestion of contaminated water. The organism can persist in water or mud at least for 1 year and that indicates the environment may be important reservoirs for this pathogen. Recent and historical outbreaks indicate that environmental exposure to the organism is a significant source of morbidity.

2.1.8. The genus Legionella

Legionellae are rod-shaped, Gram-negative bacteria being the only genus in family Legionellaceae. The genus includes 52 validated species with 71 serotypes out of which 24 Legionella species are described as occasional human pathogens. Legionella pneumophila cause Legionnaires' disease, which is a sever type of pneumonia occurring worldwide. The transmission can occur via inhalation of contaminated aerosols generated by cooling towers, bath tubs, whirlpools, ornamental fountains, and showers. In nature, Legionella live in freshwater and rarely cause illness. Outbreaks of Legionnaires' disease are often associated with man-made water settings, with large or complex water systems. Most outbreaks have been due to L. pneumophila , serogroup 1, and although this may be due to increased virulence, it may simply reflect the greater prevalence of this particular organism ( Yu et al., 2002 ). Biofilms and free-living amebae are considered to serve as main environmental reservoirs for L. pneumophila and represent a potential source of drinking water contamination, resulting in a potential health risk for humans.

2.1.9. Mycobacterium avium complex

The genus Mycobacterium belongs to family Mycobacteriaceae of order Actinomycetales. The Mycobacterium avium complex (MAC) consists of 28 serovars of two distinct species: Mycobacterium avium and Mycobacterium intracellulare. MAC has been recovered from drinking water systems both before and after treatment, hot water heaters, freshwater, brackish, sea water, and wastewater, occasionally being high in numbers, and the infection to humans occurs through the inhalation of aerosolized droplets containing M. avium cells.

The organisms of MAC have the ability to survive and grow under diverse and extreme conditions. Hence mycobacteria are highly resistant to chlorine and other chemical disinfectants as such standard drinking water treatments will not completely eliminate MAC organisms but can minimize the risk. The symptoms encountered with MAC infections result from colonization of either the respiratory or the gastrointestinal tract, with possible dissemination to other locations in the body.

2.2. Waterborne viruses

Diarrheal disease and WBDOs from drinking, recreational, and groundwaters are often caused by waterborne viruses, which tend to be more persistent in the environment than bacteria ( Gibson, 2014 ). WHO has classified adenovirus (AdV), astrovirus (AstV), hepatitis A and E viruses, RV, norovirus, and other caliciviruses and enteroviruses, including coxsackieviruses and polioviruses as water-transmitted viral pathogens having a moderate to high health significance ( WHO, 2011 ). Also, polyomaviruses and cytomegalovirus that are excreted through urine can potentially be spread through water. Influenza and coronaviruses have been proposed as organisms that can be transmitted through drinking water, but evidences are lacking. These viruses are mostly associated with gastroenteritis, which can cause diarrhea as well as other symptoms including abdominal cramping, vomiting, and fever. Some of these same viruses could also cause more severe illnesses including encephalitis, meningitis, myocarditis (enteroviruses), cancer (polyomavirus), and hepatitis (hepatitis A and E viruses) ( WHO, 2011 ).

2.2.1. Adenoviruses

AdVs, belonging to the family Adenoviridae, genus Mastadenovirus , have over 51 serotypes differentiated to six subgroups (A to F), which are the causative agents of many human diseases. They are 80–90 nm in size containing double-stranded linear DNA and a nonenveloped icosahedral shell that has slender projections from each of its 12 vertices. They can infect many organs in the body including the eye, upper respiratory tract, lower respiratory tract, gastrointestinal tract (gastroenteritis and intussusception), urinary bladder, central nervous system, and genitalia. The enteric adenoviruses types 31, 40, 41, and subgenus F are responsible for the majority of adenovirus-mediated cases of gastroenteritis. Pathogenicity of the virus varies with the species and serotype, and organ specificity and disease patterns appear to be serotype-dependent.

Human adenoviruses are transmitted by the fecal–oral route and through inhalation of water droplets. They are listed as pathogens of childhood gastroenteritis as most affected are being children of under 5 years of age. AdV resistance to purification and disinfection processes (i.e., UV inactivation) and the virus's ability to survive in the environment have increased the importance of monitoring AdVs in water ( Jiang, 2006 ). Theses adenoviruses are being documented everywhere in the world, without any seasonal variability and could be found in drinking water if not properly treated, in raw sewage, polluted waters such as rivers and dams, swimming pools, and even in shellfish.

2.2.2. Astroviruses

AstVs are nonenveloped, icosahedral viruses belonging to family Astroviridae . They are 28–41 nm in size, containing positive-sense, single-stranded RNA, genome of approximately 7 kb in size. They have been classified into two genera: Mamastrovirus and Avastrovirus . Genera Mamastrovirus and Avastrovirus cause infection to mammalians and avian, respectively. Three divergent groups of human astroviruses (HAstVs) have been identified and according to research, the classic AstV group contains eight serotypes accounting for less than 10% of all acute nonbacterial gastroenteritis in children worldwide without any geographical boundaries. Children get infected in the first few years of life regardless of their level of hygiene, quality of water, food or sanitation, or type of behavior. Although children are vulnerable, there are reports of disease in normal healthy adults ( Pager and Steele, 2002 ) and also immunocompromised individuals ( González et al., 1998 ). This infection induces mild, watery diarrhea that lasts 2–3 days, associated with vomiting, fever, anorexia, and abdominal pain. In comparison to RV or calicivirus infection, infections due to AstVs have a longer incubation period.

These viruses can be transmitted by the contaminated water via the fecal–oral route, and higher incidence has been recorded in cold months. In temperate regions, most AstV infections are during winter, whereas in tropics, infections occur during rainy months. These viruses are being detected both in surface and groundwaters which are being used as drinking water sources, freshwater, and marine waters as well as in wastewater effluents. Moreover, waterborne transmission of HAstVs has been suggested as a risk of digestive morbidity for the general population ( Gofti-Laroche et al., 2003 ). Chlorine and other disinfectants are effective for the inactivation of these viruses in water.

2.2.3. Caliciviruses

Caliciviruses are nonenveloped, 27–40 nm single-stranded RNA viruses in the family Caliciviridae. They are an important group of human viruses capable of causing gastrointestinal disease in humans that may be found in waters intended by humans for drinking, recreation, and shellfish growing. The International Committee on Taxonomy of Viruses changed the calicivirus nomenclature and classified into four genera: Vesivirus , Lagovirus , Norovirus , and Sapovirus . Sapoviruses (SaVs) and noroviruses (NoVs) are included in the latest US Drinking Water Contaminant Candidate List (CCL) ( Rusinol and Girones, 2017 ). They get spread by the fecal–oral route and are found in contaminated surface and groundwaters. The presence of caliciviruses in groundwaters is an important consideration, as a number of outbreaks have been linked to these drinking water sources (often from shallow wells and springs) ( Schaub and Oshiro, 2000 ).

2.2.4. Noroviruses

Noroviruses (NoVs) (formerly Norwalk virus) were first identified following an outbreak of enteric illness among children and adults in the town of Norwalk, Ohio ( Adler and Zickl, 1969 ). They are a group of nonenveloped, single-stranded RNA viruses with an icosahedral symmetry classified into the genus Norovirus of the family Caliciviridae with a size of 27–32 nm. Most norovirus genomes contain three open reading frames (ORFs). They have rough, nondistinct borders and lack the calyx appearance. Noroviruses are divided into five genogroups (GI to GV), three of which (GI, GII, and GIV) cause human disease. This virus is extremely infectious and humans are the only known reservoir for human norovirus. NoVs cause acute onset of projectile vomiting and diarrhea, sometimes with low-grade fever, headache, and malaise. Symptoms are usually self-limited, lasting for 24–72 h. The incubation period is usually 24–48 h, but onset of symptoms as soon as 10 h after exposure has been reported. Disease outbreaks have been associated with consumption of these viruses in drinking water and also in contaminated shellfish ( Maunula et al., 2005 , Boxman et al., 2006 ).

2.2.5. Sapoviruses

Sapovirus (SaV) is one of the etiological agents of human gastroenteritis, is named after the Japanese city Sapporo, where it was first discovered ( Chiba et al., 1979 ). SaV is an RNA virus with a nonsegmented, positive-sense, single-stranded RNA molecule of approximately 7.3–7.5 kb, belonging to the family Caliciviridae. Genome organization of SaVs differs to NoV and contains only two ORFs instead of three. SaVs have a nonenveloped viral capsid with icosahedral symmetry and display a characteristic surface that has cup-shaped depressions on the surface, formed by the 32 cups or “calices,” which is a typical calicivirus morphology. SaVs show a high level of diversity in their genomes and are currently divided into at least five genetically distinct genogroups. Infections in humans are caused by viruses of genogroup GI, GII, GIV, and GV, and at present human SaV genogroups are classified into 16 genotypes. The disease outbreaks are reported in all age groups including the elderly people ( Lee et al., 2012 ). SaVs are transmitted from person to person via fecal–oral routes and through contaminated foods and water.

2.2.6. Enteroviruses

The waterborne polioviruses, coxsackieviruses, echoviruses, hepatoviruses, and certain unclassified enteroviruses together as a group named as enteroviruses are belonging to the family Picornaviridae. They are small in size, 22–30 nm in diameter, and nonenveloped, and the virions are relatively simple, consisting of a protein capsid surrounding a single-stranded, positive-sense RNA genome and it is assumed that only reservoir for enteroviruses are humans. They are present mainly in sewage contaminated with human feces but can be found in groundwaters, coastal river and marine waters, sewage treatment plants and from solid waste landfills, and insufficiently treated drinking water.

These have been identified as sensitive to formaldehyde, hydroxylamine, UV, ionizing irradiations, and also to ozone but cannot be inactivated with changing pH or with usual chlorination. It is assumed that infections from enteroviruses are associated with poverty and poor hygienic conditions.

2.2.7. Hepatovirus A

Hepatovirus A (HAV) is a nonenveloped virus with an icosahedral capsid of about 27–32 nm, single-stranded having an RNA genome of approximately 7.5 kb and belongs to the family Picornaviridae. HAV is the causative agent of type A viral hepatitis and only one serotype has been reported ( Cristina and Costa-Mattioli, 2007 ). Virus transmission occurs through the fecal–oral route by direct contact with an infected person or exposure to contaminated water or consumption of contaminated food.

The incidence of HAV shows distinct patterns of geographic distribution and being related to standards of hygiene and sanitation, demographic factors and socioeconomic conditions of the population. Most of the infections occur in Africa and Asia, followed by Central and South America, Eastern Europe are considered as areas of intermediate endemicity. Children are more vulnerable to disease in highly endemic areas while adolescents and adults are susceptible to infection in intermediate endemic areas ( WHO, 2012 ).

2.2.8. Hepatovirus E

Hepatovirus E (HEV) is a nonenveloped, positive-sense, single-stranded RNA genome of 7.2 kb in length and belongs to the family Hepeviridae. Family Hepeviridae contains two genera: Orthohepevirus and Piscihepevirus . Four main genotypes of HEV (HEV-1, HEV-2, HEV-3, and HEV-4) belonging to the Orthohepevirus A species are able to infect humans. HEV is primarily transmitted by fecal–oral routes through contaminated foods and water in endemic areas. Also, zoonotic and person-to-person transmission is possible. HEV causes acute hepatitis E in human and an infection is considered to be endemic in many developing countries in Africa and Asia. HEV genotypes 1 and 2 cause epidemic and endemic diseases in developing countries, mainly through contaminated drinking water, while genotypes 3 and 4 cause autochthonous infections mainly in developed countries through a unique zoonotic foodborne transmission ( Khuroo et al., 2016 ).

2.2.9. Rotaviruses

RVs are nonenveloped, double-stranded RNA viruses, belonging to the family Reoviridae. RV is composed of the outer capsid, inner capsid, and core, and genome is composed of 11 segments of double-stranded RNA, which code for six structural and five nonstructural proteins. RV is mainly classified into seven groups (A–G) based on the antigenicity of the inner capsid protein VP6 and genomic characteristics. Among them, rotavirus group A (RVA) strains with distinct G-genotype and P-genotype are the major etiological agents in humans worldwide. Infection with RVA is the most common cause of diarrheal disease among infants and young children and one of the common causes of death in children under 5 years of age ( Walker et al., 2013 ). Virus transmission occurs through the fecal–oral route by direct contact with an infected person and possibly by the respiratory route. RV causes an estimated 2 million hospitalizations and 450,000 deaths among children annually, and the majority of deaths are reported from developing countries in Asia and Africa ( Wang et al., 2014 , Liu et al., 2015 ). The WHO has recommended that the use of RV vaccines in routine immunization programs worldwide to reduce the burden of disease ( WHO, 2009 ).

2.3. Waterborne protozoa

Protozoan parasites were the most frequently identified etiologic agents in WBDOs in 1990s. Further from 1978 through 1991, Giardia lamblia was the most commonly identified pathogen, while in 1992, the numbers of outbreaks reported for giardiasis and cryptosporidiosis were matching. Naegleria fowleri, Acanthamoeba spp., and Entamoeba histolytica are also considered as etiologic agents in WBDOs. Since the potential threat of infection via the waterborne route is being recognized for many of these protozoans, it is crucial that the water industry pays its attention to finding ways to detect these emerging and well-recognized protozoan pathogens in water ( Marshall et al., 1997 ).

2.3.1. The genus Cryptosporidium

Cryptosporidia are zoonotic protozoan parasites with worldwide distribution, consisting of 27 species and more than 60 genotypes. Among Cryptosporidium species identified, Cryptosporidium hominis and Cryptosporidium parvum are the major disease-causing organisms in human. They cause cryptosporidiosis which is a gastrointestinal illness that can last for several days to several weeks. This infection is commonly found in children, immunocompromised individuals, and workers who are frequently exposed to wastewater. The major routes of transmission are not only water and food but also person-to-person contact and respiratory transmission is possible.

2.3.2. The genus Giardia

Giardia are flagellated protozoan parasites belonging to the phylum Metamonada that cause giardiasis, a diarrheal disease in humans and other mammals throughout the world. Since 1920, six Giardia species have been described; Giardia duodenalis (syn. Giardia intestinalis and G . lamblia ) is the major disease-causing organisms in human. Risk from Giardia can be through occupational, accidental, or recreational exposure to surface waters. Brodsky et al. (1974) reported that water contaminated with G. lamblia cysts causes travel-related giardiasis in tourists in certain areas of the world. Giardia species have two major stages in their life cycle, i.e., rapidly multiplying trophozoites and cysts. Cysts are excreted with feces and survive in a variety of environmental conditions. They can be transmitted through contaminated water, food, or direct fecal–oral route.

2.3.3. Entamoeba histolytica

E . histolytica belongs to the family Entamoebidae, an invasive, pathogenic protozoan causing amebiasis while other two species Entamoeba dispar and Entamoeba moshkovskii are nonpathogenic. Life cycle of this E . histolytica includes trophozoite, precyst, cyst, metacyst, and metacystic trophozoite stages. Mature cysts have four nuclei and average 20 μm in diameter, while the motile form trophozoite has a size range of 10–60 μm. The cyst form is the infective form for humans, which can survive in water and food. Infections due to E. histolytica have been recorded globally and it is suggested that from the infected persons around 10% show clinical symptoms. According to literature except for the two parasites, plasmodia and schistosomes, most deaths have been assigned to E. histolytica than any other parasite. In developed countries, risk groups include travelers, immigrants, migrant workers, and immunocompromised individuals. Transmission of this protozoan by water is common in developing countries, where much of the water supply for drinking is untreated and fecally contaminated ( Marshall et al., 1997 ).

2.4. Waterborne helminths

The helminths, generally known as parasitic worms, are invertebrates with elongated, flat, or round bodies which belong to Kingdom Animalia. The major parasitic helminths include in the phylum Nematoda (roundworms) and the phylum Platyhelminthes (trematodes). Helminth parasites infect a large number of people and animals worldwide, mainly in developing countries due to lack of water, sanitation, and hygiene facilities. Dracunculus medinensis (Guinea worm) and Fasciola spp. ( Fasciola hepatica and Fasciola gigantica ) (liver flukes) are the major helminths which can be transmitted through drinking water.

2.4.1. The genus Dracunculus

The genus Dracunculus belongs to the phylum Nematoda and family Dracunculidae, which is parasite of mammals and reptiles. There are 14 valid species in this genus but D. medinensis has been well-studied because of human infections. Dracunculiasis or Guinea-worm disease (GWD) is an avoidable waterborne disease caused by the parasite D. medinensis which affect the populations in rural parts of South Asia and Africa. Reported cases worldwide annually have declined from an estimated 3.5 million cases in 1986 to only 28 cases in 2018 ( WHO, 2019 ). GWD is now restricted to some communities in remote parts of Africa. Humans get exposed to the disease through consumption of drinking water containing Cyclops spp. carrying infectious D. medinensis larvae. After ingestion, larvae are released, penetrate the intestinal and peritoneal walls, and inhabit the subcutaneous tissues.

2.4.2. The genus Fasciola

The genus Fasciola belongs to the phylum Platyhelminthes and family Fasciolidae, which causes fasciolosis in human and ruminants. The main pathogenic species are F . hepatica (temperate fluke) and F . gigantica (tropical fluke). It is estimated that more than 17 million people are infected worldwide and about 180 million people living in endemic areas are at risk to infection ( Cwiklinski et al., 2016 ). Human infection generally occurs through consumption of aquatic vegetables such as watercress, drinking water contaminated with encysted cercariae, or washing utensils with contaminated water.

The above-discussed and the most important waterborne pathogens belonging to the four categories bacteria, viruses, protozoa, and helminths, their diseases, and mode of transmission are summarized in Table 2.1 .

Table 2.1

The waterborne pathogens.

3. Potential waterborne pathogens

In 1997 , WHO defined emerging pathogens as those that have appeared in a human population for the first time or have occurred previously but are increasing in incidence or expanding into geographical areas where they have not previously been reported. Reemerging pathogens are those whose occurrence is increasing as a result of long-term changes in their underlying epidemiology ( WHO, 2003 ). By these criteria, 175 species of infectious agent from 96 different genera were classified as emerging pathogens in 1970s and from this group, 75% were zoonotic species. However, currently several of this microorganism from environmental sources, including water, have been confirmed as pathogens, including Cryptosporidium , Legionella , E. coli O157, RV, hepatitis E virus, and norovirus. H . pylori is an example of a recently emerged pathogen that may be transmitted through water ( WHO, 2003 ).

3.1. Potential waterborne bacteria

3.1.1. helicobacter pylori.

Bacteria of genus Helicobacter are Gram-negative, curved, or spiral-shaped belonging to the family Helicobacteraceae and class Epsilonproteobacteria . H . pylori is a helix-shaped bacterium, 3 μm long with a diameter about 0.5 μm. Genus Helicobacter contains more than 40 described species and 4 Candidatus species, a designation of provisional status by International Committee on Systematic Bacteriology for incompletely described prokaryotes, and is divided according to their major colonization sites as gastric or lower intestinal tract–associated bacterial species. It is a genetically diverse gastric pathogen, carrying a range of antibiotic resistance patterns, and varies in geographic occurrence.

These are considered as major etiologic agent for gastritis and are also connected to pathogenesis of peptic and duodenal ulcer disease and gastric carcinoma. But most individuals remain asymptomatic. Approximately 70%–90% of persons in developing countries and 25%–50% of those in developed countries are colonized by H. pylori and it is transmitted mainly by fecal–oral or oral–oral routes, with water and food as the sources ( Doyle, 2012 ). Epidemiological studies have associated the H. pylori infection with lack of access to potable drinking water and proper sanitation H. pylori in drinking water biofilms, change their morphology, and persist for more than 1 month, with densities exceeding 10 6 cells/cm 2 ( Giao et al., 2008 ).

3.1.2. Aeromonas hydrophila

Aeromonas are straight, coccobacillary to bacillary, belonging to family Aeromonadaceae of order Aeromonadales who are non–spore-forming, facultative anaerobic, Gram-negative bacteria with cells having a size of 0.3–1.0 × 1.0–3.5 μm. Although Aeromonas hydrophila is usually the dominant species, other aeromonads, such as Aeromonas caviae and Aeromonas sobria , have also been isolated from human feces and water sources.

A. hydrophila has been recognized as an opportunistic pathogen being identified as a potential agent of gastroenteritis, septicemia, meningitis, and in wound infections. It plays a significant role in intestinal disorders in children under 5 years old, the elderly, and immunosuppressed people. Ubiquitous in nature, it is frequently isolated from food, drinking water, and aquatic environments. In surface waters, mainly rivers and lakes, concentrations of Aeromonas spp. are high but groundwaters generally contain lesser numbers. Drinking water immediately leaving the treatment plant could contain between 0 and 10 2  CFU/mL and these waters can display higher Aeromonas concentrations, due to the growth in biofilms ( Chauret et al., 2001 ). A. hydrophila is resistant to standard chlorine treatments and it is assumed that they survive by being within the biofilms. The common routes of infection are the ingestion of contaminated water or food or through skin. No person-to-person transmission has been reported.

3.1.3. The genus Leptospira

The genus Leptospira belongs to family Leptospiraceae of the phylum Spirochaete and currently contains 20 species including 9 pathogenic, 6 saprophytic, and 5 being intermediate. They are thin, tightly coiled, motile spirochetes, generally 6–20 mm in length, but during culturing they may produce much longer cells. The surface structure of the Leptospira shows both Gram-negative and Gram-positive characteristics. The disease leptospirosis is one of the most widespread zoonotic diseases, infecting both human and animals caused by the Leptospira . The major route of exposure to the pathogen is indirect contact with contaminated water or moist soil. In developing countries from tropics, leptospirosis is an occupational infection, most affected being the people who are engaged in farming, sharecropping, and in animal husbandry ( Levett, 2001 ). Furthermore, there is a significant risk of exposure during recreational activities. Leptospirosis is essentially waterborne infection, as several outbreaks of disease have been recorded during rainy season. Both pathogenic and saprophytic strains of leptospirosis have been isolated from water sources including rivers and lakes as they are able to survive in moist soil and freshwater for long periods of time ( Pal and Hadush, 2017 ).

3.1.4. The genus Tsukamurella

Bacteria belonging to genus Tsukamurella of order Actinomycetales are Gram-positive, nonmotile, obligate aerobic, irregular, and rod-shaped. The genus includes 11 species and out of which 9 Tsukamurella species have been isolated from human infections. Most of Tsukamurella species exist as environmental saprophytes present in soil, arthropods, water, sludge foam, and sponges. Some species have been detected in drinking water supplies, but there is no evidence of correlation between the presence of organisms and the disease. They are opportunistic pathogens and can transmit through clinical instruments such as catheters or lesions. Tsukamurella cause various infections in humans, including pulmonary and cutaneous infections and meningitis and most vulnerable are immunocompromised individuals.

3.1.5. The genus Bacillus

Bacteria belonging to genus Bacillus of phylum Firmicutes are rod-shaped, Gram-positive, strictly aerobic, or facultatively anaerobic and are capable of endospore formation. Bacillus species are commonly found in soil and water. They have been detected in drinking water supplies even after disinfection processes, but waterborne transmission is not yet confirmed. Only few Bacillus species are pathogenic to human. With Bacillus cereus causing bacteremia in immunocompromised patients, B. anthracis causes anthrax in humans and animals. In a study conducted by Taylor et al. (2005) , strains of Bacillus megaterium, Bacillus firmus , Bacillus simplex , and B. cereus were found to produce heat-stable toxins, with varying levels of toxicity.

3.1.6. Cyanobacteria and cyanotoxins

Cyanobacteria are a phylum with an estimated 150 genera of cyanobacteria containing approximately 2000 species, of which around 46 have been reported as being toxigenic. They are oxygenic, photosynthetic, Gram-negative bacteria that inhabit a large variety of terrestrial and aquatic habitats, showing a wide diversity in morphology and their average cell size ranges from 0.5 to 60 μm. In 1998, cyanobacteria were included as a microbial contaminant to CCL because of their potential for transmission through drinking water. Furthermore, microcystin-LR, cylindrospermopsin, and anatoxin-a produced by several species of cyanobacteria are also included in the CCL. These cyanotoxins have been reported from water reservoirs around the world which had caused acute and chronic illnesses in animals and humans ( Liyanage et al., 2016 ). Exposure to cyanotoxins can be through contaminated drinking water, ingestion and dermal skin contact during recreational activities ( Fig. 2.2 ), inhalation of aerosols, medical treatments (dialysis), or through algal food supplements.

An external file that holds a picture, illustration, etc.
Object name is f02-02-9780128187838.jpg

A lake in a developing country where people are engaged in recreational activities. (A) Lake Gregory, Sri Lanka; (B) recreational activity area; (C) people engaged in boat riding; potential toxic cyanobacteria; (D) Anabaena sp.; (E) Oscillatoria sp.; (F) Microcystis sp. ( Magana-Arachchi et al., 2011 ).

3.2. Potential waterborne viruses

In 2017, GWPP reported 10 emerging viruses with potential for waterborne transmission including genera Alphatorquevirus , Cyclovirus , Erythroparvovirus , Bocaparvovirus , Protoparvovirus , Alphapapillomavirus , Betapapillomavirus , Picobirnavirus , Betapolyomavirus , and Alphapolyomavirus ( Rusinol and Girones, 2017 ) ( Table 2.2 ).

Table 2.2

The potential waterborne pathogens.

3.3. Potential waterborne protozoa

3.3.1. microsporidia.

Microsporidia belonging to the phylum Microspora include over 140 genera and 1200 species that are parasitic in all major animal groups. They are obligate intracellular, spore-forming protists. The spore is the only stage that can survive outside the host cell in their life cycle and it contains a characteristic coiled polar filament for injecting the sporoplasm into a host cell to initiate infection. After infection, a complex process of multiplication takes place within an infected cell and new spores are produced and released to feces, urine, respiratory secretions, or other body fluids, depending on the type of species and the site of infection. Among 14 human pathogenic Microsporidia species, two species, Enterocytozoon bieneusi and Encephalitozoon intestinalis , are the most prevalent species which associated with gastrointestinal disease in humans. Person-to-person contact and ingestion of spores in water and food contaminated with human feces or urine are considered as important routes of exposure. A study by Dowd et al. (1998) showed that 7 out of 14 water concentrates tested were contaminated with E. intestinalis , E. bieneusi , and Vittaforma corneae which represent human pathogenic microsporidia species. Their study is the first species level confirmation of human pathogenic microsporidia in water, indicating that these human pathogenic microsporidia possibly be waterborne pathogens. Microsporidiosis is an emerging disease in immunosuppressed persons with AIDS, but microsporidia have the ability to cause disease even in immunologically normal hosts.

3.3.2. Cystoisospora belli

Cystoisospora (formerly Isospora ) are coccidian parasites, belonging to the phylum Apicomplexa, found mainly in tropical and subtropical areas. Many Cystoisospora species can infect animals, but human is the only known host for C . belli ( Lindsay et al., 1997 ) . C. belli infects the epithelial cells of the small intestine of human, and immunocompromised individuals are more susceptible to the infection. The immature form of the parasite is known as oocytes; they are passed out with feces and then mature outside the body in 2–3 days, depending on environmental conditions. It can be transmitted through contaminated water and food. However, direct person-to-person transmission is unlikely. The improved practice of personal hygiene and sanitation may help in preventing transmission of disease.

3.3.3. Cyclospora cayetanensis

Cyclospora cayetanensis belongs to the family Eimeriidae, 7.5–10 μm in diameter, cyst-forming, and unsporulated when passed in feces. It is an apicomplexa coccidia closely related to Eimeria species, recognized as an emerging protist that causes diarrheal illness and significantly contributes to the burden of gastroenteritis worldwide.

3.4. Potential waterborne helminths

3.4.1. the genus schistosoma.

Schistosomes are trematode parasites which cause schistosomiasis (or bilharzia) in human. The main human pathogenic species are Schistosoma mansoni , Schistosoma japonicum , and Schistosoma haematobium . Schistosomiasis is a waterborne disease mostly seen in the tropics and subtropics. The humans get exposed when their skin comes into contact with infested freshwater, into which the cercariae of the parasite are released by freshwater snails. It is understood that for each of the human schistosomes, the presence of a specific genus of snail is necessary for transmission to occur. This disease has been considered as a disease due to poverty, and controlling of this disease has been a problem because of the lack of clean water available to people living in the developing countries.

The most important potential waterborne pathogens as described by WHO belonging to the four categories bacteria, viruses, protozoa, and helminths, their diseases, and mode of transmission are summarized in Table 2.2 .

This chapter provides a general description on current waterborne pathogens as well as emerging and potential pathogens which could be categorized into bacteria, viruses, protozoans, and helminths. Most of these microorganisms are ubiquitous in waters regardless of ground, surface, fresh, or marine. People utilize these waters for drinking, cooking, and other domestic actions, bathing, medically, and also for recreations. The water sources become polluted due to the mixing of fecal matter from human and animal and also waste generated by other direct and indirect anthropogenic activities. As a result, waters become reservoirs for the pathogens making it unsafe for human consumption causing many waterborne diseases. In addition, with the increase in global population, changes in climatic patterns, and the presence of antibiotic resistant bacteria in waste waters, it is predicted that there will be a rise in waterborne diseases especially diarrhea and cholera. Therefore, still the global populations infants, young, or old are at a risk from waterborne diseases and outbreaks whether the countries are developed or developing or in tropics or temperate in geographical distribution. Hence to minimize the adverse effects from these waterborne pathogens and to improve the water quality, regular monitoring of water sources is essential with advanced but cost-effective detection techniques, precise disinfectant procedures with proper management.

Acknowledgment

We are expressing our sincere gratitude to Ms. Chanusha Weralupitiya for technical support in preparation of Fig. 2.1 .

  • Adler L., Zickl R. Winter vomiting disease. J. Infect. Dis. 1969; 119 (6):668–673. [ PubMed ] [ Google Scholar ]
  • Aissa R., Al-Gallas N., Troudi H., Belhadj N., Belhadj A. Trends in Salmonella enterica serotypes isolated from human, food, animal, and environment in Tunisia, 1994–2004. J. Infect. 2007; 55 (4):324–339. [ PubMed ] [ Google Scholar ]
  • Arvanitidou M., Kanellou K., Vagiona D. Diversity of Salmonella spp. and fungi in northern Greek rivers and their correlation to fecal pollution indicators. Environ. Res. 2005; 99 (2):278–284. [ PubMed ] [ Google Scholar ]
  • Bivins A., Sumner T., Kumpel E., Howard G., Cumming O., Ross I., Nelson K., Brown J. Estimating infection risks and the global burden of diarrheal disease attributable to intermittent water supply using QMRA. Environ. Sci. Technol. 2017; 51 (13):7542–7551. [ PubMed ] [ Google Scholar ]
  • Boxman L., Tilburg J., TeLoeke A., Vennema H., Jonker K., De Boer E., Koopmans M. Detection of noroviruses in shellfish in The Netherlands. Int. J. Food Microbiol. 2006; 108 (3):391–396. [ PubMed ] [ Google Scholar ]
  • Bridle H. Overview of waterborne pathogens. In: Bridle H., editor. Waterborne Pathogens: Detection Methods and Applications. Academic Press; 2013. [ Google Scholar ]
  • Brodsky E., Spencer C., Schultz G. Giardiasis in American travelers to the Soviet Union. J. Infect. Dis. 1974; 130 (3):319–323. [ PubMed ] [ Google Scholar ]
  • Bruneau A., Rodrigue H., Ismael J., Dion R., Allard R. Outbreak of E. coli O157:H7 associated with bathing at a public beach in the Montreal-Centre region. Can. Commun. Dis. Rep. 2004; 30 (15):133–136. [ PubMed ] [ Google Scholar ]
  • Cabral J. Water microbiology. Bacterial pathogens and water. Int. J. Environ. Res. Public Health. 2010; 7 (10):3657–3703. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Chauret C., Volk C., Creason R., Jarosh J., Robinson J., Warnes C. Detection of Aeromonas hydrophila in a drinking-water distribution system: a field and pilot study. Can. J. Microbiol. 2001; 47 (8):782–786. [ PubMed ] [ Google Scholar ]
  • Chiba S., Sakuma Y., Kogasaka R., Akihara M., Horino K., Nakao T., Fukui S. An outbreak of gastroenteritis associated with calicivirus in an infant home. J. Med. Virol. 1979; 4 (4):249–254. [ PubMed ] [ Google Scholar ]
  • Colquhoun J., Larsson P., Duodu S., Forsman M. The family Francisellaceae . In: Rosenberg E., DeLong E.F., Lory S., Stackebrandt E., Thompson F., editors. The Prokaryotes. Springer; Berlin, Heidelberg: 2014. [ Google Scholar ]
  • Corea E., Thevanesam V., Perera S., Jayasinghe I., Ekanayake A., Masakorala J., Inglis T. Melioidosis in Sri Lanka: an emerging infection. Sri Lankan J. Infect. Dis. 2012; 1 (2):2–8. [ Google Scholar ]
  • Cristina J., Costa-Mattioli M. Genetic variability and molecular evolution of hepatitis A virus. Virus Res. 2007; 127 (2):151–157. [ PubMed ] [ Google Scholar ]
  • Currie B., Dance D., Cheng A. The global distribution of Burkholderia pseudomallei and melioidosis: an update. Trans. R. Soc. Trop. Med. Hyg. 2008; 102 (S1):S1–S4. [ PubMed ] [ Google Scholar ]
  • Cwiklinski K., O'neill S.M., Donnelly S., Dalton J.P. A prospective view of animal and human fasciolosis. Parasite Immunol. 2016; 38 (9):558–568. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Dowd E., Gerba P., Pepper L. Confirmation of the human-pathogenic microsporidia Enterocytozoon bieneusi, Encephalitozoon intestinalis , and Vittaforma corneae in water. Appl. Environ. Microbiol. 1998; 64 (9):3332–3335. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Doyle E. University of Wisconsin; Madison: 2012. Helicobacter spp.- Food- or Waterborne Pathogens? FRI Food Safety Review. [ Google Scholar ]
  • Giao M., Azevedo N., Wilks S., Vieira M., Keevil C. Persistence of Helicobacter pylori in heterotrophic drinking-water biofilms. Appl. Environ. Microbiol. 2008; 74 (19):5898–5904. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Gibson K.E. Viral pathogens in water: occurrence, public health impact, and available control strategies. Curr. Opin. Virol. 2014; 4 :50–57. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Gofti-Laroche L., Gratacap-Cavallier B., Demanse D., Genoulaz O., Seigneurin J., Zmirou D. Are waterborne astrovirus implicated in acute digestive morbidity (E.MI.R.A. study)? J. Clin. Virol. 2003; 27 (1):74–82. [ PubMed ] [ Google Scholar ]
  • González G., Pujol H., Liprandi F., Deibis L., Ludert E. Prevalence of enteric viruses in human immunodeficiency virus seropositive patients in Venezuela. J. Med. Virol. 1998; 55 (4):288–292. [ PubMed ] [ Google Scholar ]
  • Jiang C. Human adenoviruses in water: occurrence and health implications: a critical review. Environ. Sci. Technol. 2006; 40 (23):7132–7140. [ PubMed ] [ Google Scholar ]
  • Jin D., Kong X., Cui B., Jin S., Xie Y., Wang X., Deng Y. Bacterial communities and potential waterborne pathogens within the typical urban surface waters. Sci. Rep. 2018; 8 (1):13368. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Khuroo M., Khuroo M., Khuroo N. Transmission of hepatitis E virus in developing countries. Viruses. 2016; 8 (9):253. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Lee E., Cebelinski A., Fuller C., Keene E., Smith K., Vinjé J., Besser M. Sapovirus outbreaks in long-term care facilities, Oregon and Minnesota, USA, 2002-2009. Emerg. Infect. Dis. 2012; 18 (5):873–876. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Levett N. Leptospirosis. Clin. Microbiol. Rev. 2001; 14 (2):296–326. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Limmathurotsakul D., Kanoksil M., Wuthiekanun V., Kitphati R., Day P., Peacock J. Activities of daily living associated with acquisition of melioidosis in northeast Thailand: a matched case-control study. PLoS Neglected Trop. Dis. 2013; 7 (2):2072. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Lindsay S., Dubey P., Blagburn L. Biology of Isospora spp. from humans, nonhuman primates, and domestic animals. Clin. Microbiol. Rev. 1997; 10 (1):19–34. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Liu L., Oza S., Hogan D., Perin J., Rudan I., Lawn J.E., Cousens S., Mathers C., Black R.E. Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis. Lancet. 2015; 385 (9966):430–440. [ PubMed ] [ Google Scholar ]
  • Liyanage H.M., Magana Arachchi D.N., Abeysekara T., Guneratne L. Toxicology of freshwater cyanobacteria. J. Environ. Sci. Health Part C. 2016; 34 (3):137–168. [ PubMed ] [ Google Scholar ]
  • Magana-Arachchi D.N., Wanigatunge R.P., Liyanage H.M. Molecular characterization of cyanobacterial diversity in Lake Gregory, Sri Lanka. Chin. J. Oceanol. Limnol. 2011; 29 (4):898–904. [ Google Scholar ]
  • Marshall M.M., Naumovitz D., Ortega Y., Sterling C.R. Waterborne protozoan pathogens. Clin. Microbiol. Rev. 1997; 10 (1):67–85. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Maunula L., Miettinen T., Von Bonsdorff H. Norovirus outbreaks from drinking water. Emerg. Infect. Dis. 2005; 11 (11):1716–1721. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Murray J., Vos T., Lozano R., Naghavi M., Flaxman D., Michaud C., Ezzati M., Shibuya K., Salomon A., Abdalla S., Aboyans V. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012; 380 (9859):2197–2223. [ PubMed ] [ Google Scholar ]
  • Pager T., Steele D. Astrovirus-associated diarrhea in South African adults. Clin. Infect. Dis. 2002; 35 (11):1452–1453. [ PubMed ] [ Google Scholar ]
  • Pal M., Hadush A. Leptospirosis: an infectious emerging waterborne zoonosis of global significance. Air Water Borne Dis. 2017; 6 :1–4. [ Google Scholar ]
  • Patel C., Shanker R., Gupta V., Upadhyay R. Q-PCR based culture-independent enumeration and detection of Enterobacter: an emerging environmental human pathogen in riverine systems and potable water. Front. Microbiol. 2016; 7 :172. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Rusinol M., Girones R. Summary of excreted and waterborne viruses. In: Rose J.B., Jiménez-Cisneros B., editors. Global Water Pathogen Project (GWPP) Michigan State University; E. Lansing, MI: 2017. UNESCO. [ Google Scholar ]
  • Schaub S., Oshiro R. Public health concerns about Caliciviruses as waterborne contaminants. J. Infect. Dis. 2000; 181 (s2):S374–S380. [ PubMed ] [ Google Scholar ]
  • Taylor J.M., Sutherland A.D., Aidoo K.E., Logan N.A. Heat-stable toxin production by strains of Bacillus cereus, Bacillus firmus, Bacillus megaterium, Bacillus simplex and Bacillus licheniformis . FEMS Microbiol. Lett. 2005; 242 (2):313–317. [ PubMed ] [ Google Scholar ]
  • United Nations General Assembly (UNGA) 2010. The Human Right to Water and Sanitation: Resolution/Adopted by the General Assembly. [ Google Scholar ]
  • UNSD . United Nations General Assembly Resolution (UNSD); 2015. Transforming Our World: The 2030 Agenda for Sustainable Development. A/RES/70/1. [ Google Scholar ]
  • Walker F., Rudan I., Liu L., Nair H., Theodoratou E., Bhutta A., O'Brien L., Campbell H., Black E. Global burden of childhood pneumonia and diarrhoea. Lancet. 2013; 381 (9875):1405–1416. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Wang H., Liddell A., Coates M., Mooney D., Levitz E., Schumacher E., Murray C.J. Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: a systematic analysis for the global burden of disease study 2013. Lancet (Lond Engl) 2014; 384 (9947):957–979. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Wasey A., Salen P. StatPearls [Internet] StatPearls Publishing; Treasure Island, FL: 2019. Escherichia coli ( E. coli 0157 H7) https://www.ncbi.nlm.nih.gov/books/NBK507845/ (Updated 2019 Feb 3) Available from: [ PubMed ] [ Google Scholar ]
  • Weintraub A. Immunology of bacterial polysaccharide antigens. Carbohydr. Res. 2003; 338 (23):2539–2547. [ PubMed ] [ Google Scholar ]
  • WHO, UNICEF . World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF); Geneva: 2017. Progress on Drinking Water, Sanitation and Hygiene: Update and Sustainable Development Goal Baselines. License: CC BY-NC-SA 3.0 IGO. [ Google Scholar ]
  • WHO, UNICEF, World Bank . third ed. 2009. State of the World's Vaccines and Immunization. Geneva. [ Google Scholar ]
  • Wiersinga J., Virk S., Torres G., Currie J., Peacock J., Dance A., Limmathurotsakul D. Melioidosis. Nat. Rev. Dis. Prim. 2018; 4 :17107. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • World Health Organization . 1997. Division of Emerging and Communicable Diseases Surveillance and Control Annual Report- 1996. [ Google Scholar ]
  • World Health Organization . 2003. Emerging Issues in Water and Infectious Disease. [ Google Scholar ]
  • World Health Organization . fourth ed. WHO Press; Geneva, Switzerland: 2011. Guidelines for Drinking-Water Quality. [ Google Scholar ]
  • World Health Organization WHO position paper on hepatitis A vaccines-June 2012. Wkly. Epidemiol. Rec. 2012; 87 (28–29):261–276. [ PubMed ] [ Google Scholar ]
  • World Health Organization . 2019. Dracunculiasis (Guinea-Worm Disease) Fact Sheet. [ Google Scholar ]
  • Yu L., Plouffe F., Pastoris C., Stout E., Schousboe M., Widmer A., Summersgill J., File T., Heath M., Paterson L., Chereshsky A. Distribution of Legionella species and serogroups isolated by culture in patients with sporadic community-acquired legionellosis: an international collaborative survey. J. Infect. Dis. 2002; 186 (1):127–128. [ PubMed ] [ Google Scholar ]

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Alzheimer’s Takes a Financial Toll Long Before Diagnosis, Study Finds

New research shows that people who develop dementia often begin falling behind on bills years earlier.

Ben Casselman

By Ben Casselman

Long before people develop dementia, they often begin falling behind on mortgage payments, credit card bills and other financial obligations, new research shows.

A team of economists and medical experts at the Federal Reserve Bank of New York and Georgetown University combined Medicare records with data from Equifax, the credit bureau, to study how people’s borrowing behavior changed in the years before and after a diagnosis of Alzheimer’s or a similar disorder.

What they found was striking: Credit scores among people who later develop dementia begin falling sharply long before their disease is formally identified. A year before diagnosis, these people were 17.2 percent more likely to be delinquent on their mortgage payments than before the onset of the disease, and 34.3 percent more likely to be delinquent on their credit card bills. The issues start even earlier: The study finds evidence of people falling behind on their debts five years before diagnosis.

“The results are striking in both their clarity and their consistency,” said Carole Roan Gresenz, a Georgetown University economist who was one of the study’s authors. Credit scores and delinquencies, she said, “consistently worsen over time as diagnosis approaches, and so it literally mirrors the changes in cognitive decline that we’re observing.”

The research adds to a growing body of work documenting what many Alzheimer’s patients and their families already know: Decision-making, including on financial matters, can begin to deteriorate long before a diagnosis is made or even suspected. People who are starting to experience cognitive decline may miss payments, make impulsive purchases or put money into risky investments they would not have considered before the disease.

“There’s not just getting forgetful, but our risk tolerance changes,” said Lauren Hersch Nicholas, a professor at the University of Colorado School of Medicine who has studied dementia’s impact on people’s finances. “It might seem suddenly like a good move to move a diversified financial portfolio into some stock that someone recommended.”

People in the early stages of the disease are also vulnerable to scams and fraud, added Dr. Nicholas, who was not involved in the New York Fed research. In a paper published last year , she and several co-authors found that people likely to develop dementia saw their household wealth decline in the decade before diagnosis.

The problems are likely to only grow as the American population ages and more people develop dementia. The New York Fed study estimates that 600,000 delinquencies will occur over the next decade as a result of undiagnosed memory disorders.

That probably understates the impact, the researchers argue. Their data includes only issues that show up on credit reports, such as late payments, not the much broader array of financial impacts that the diseases can cause. Wilbert van der Klaauw, a New York Fed economist who is another of the study’s authors, said that after his mother was diagnosed with Alzheimer’s, his family discovered parking tickets and traffic violations that she had hidden.

“If anything, this is kind of an underestimate of the kind of financial difficulties people can experience,” he said.

Shortly before he was diagnosed with Alzheimer’s, Jay Reinstein bought a BMW he could not afford.

“I went into a showroom and I came home with a BMW,” he said. “My wife was not thrilled.”

At the time, Mr. Reinstein had recently retired as assistant city manager for Fayetteville, N.C. He had been noticing memory issues for years, but dismissed them as a result of his demanding job. Only after his diagnosis did he learn that friends and colleagues had also noticed the changes but had said nothing.

Mr. Reinstein, 63, is fortunate, he added. He has a government pension, and a wife who can keep an eye on his spending. But for those with fewer resources, financial decisions made in the years before diagnosis can have severe consequences, leaving them without money at the time when they will need it most. The authors of the New York Fed study noted that the financial effects they saw predated most of the costs associated with the disease, such as the need for long-term care.

The study expands on past research in part through its sheer scale: Researchers had access to health and financial data on nearly 2.5 million older Americans with chronic health conditions, roughly half a million of whom were diagnosed with Alzheimer’s or related disorders. (The records were anonymized, allowing researchers to combine the two sets of data without having access to identifying details on the individual patients.)

The large amount of data allowed researchers to slice the data more finely than in past studies, looking at the impact of race, sex, household size and other variables. Black people, for example, were more than twice as likely as white people to have financial problems before diagnosis, perhaps because they had fewer resources to begin with, and also because Black patients are often diagnosed later in the course of the disease.

The researchers hoped that the data could eventually allow them to develop a predictive algorithm that could flag people who might be suffering from impaired financial decision-making associated with Alzheimer’s disease — although they stressed that there were unresolved questions about who would have access to such information and how it would be used.

Until then, the researchers said, their findings should be a warning to older Americans and their families that they should prepare for the possibility of an Alzheimer’s diagnosis. That could mean taking steps such as granting a trusted person financial power of attorney, or simply paying attention to signs that someone might be behaving uncharacteristically.

Dr. Nicholas agreed.

“We should be thinking about the possibility of financial difficulties linked to a disease we don’t even know we have,” she said. “Knowing that, people should be on the lookout for these symptoms among friends and family members.”

Pam Belluck contributed reporting.

Tell us about your family's challenges with money management and Alzheimer's.

Ben Casselman writes about economics with a particular focus on stories involving data. He has covered the economy for nearly 20 years, and his recent work has focused on how trends in labor, politics, technology and demographics have shaped the way we live and work. More about Ben Casselman

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You may feel richer as you pay your mortgage down and home values go up. As a result, some homeowners end up with a lot of home equity but low retirement savings. Here’s the problem  with that situation.

Can your investment portfolio reflect your values? If you want it to, it is becoming easier with each passing year .

The way advisers handle your retirement money is about to change: More investment professionals will be required to act in their customers’ best interest  when providing advice about their retirement money.

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IMAGES

  1. Outbreak of Water-borne diseases due to Water-logging.

    research article on water borne diseases

  2. 4 Types of Water Related Diseases : Water Borne, Water Based, Water

    research article on water borne diseases

  3. Water Borne Diseases

    research article on water borne diseases

  4. Waterborne Disease Prevention Branch

    research article on water borne diseases

  5. (PDF) The implications of climatic changes on food and water-borne

    research article on water borne diseases

  6. Water Borne Diseases

    research article on water borne diseases

VIDEO

  1. Topic : Etiology of Water Borne Diseases, Jaundice, Hepatitis and Diarrheal Diseases

  2. Water Borne Diseases: CPH Lecture Series

  3. Cholera cases surge in Kenya amidst flooding crisis

COMMENTS

  1. (PDF) Water and Waterborne Diseases: A Review

    The. most common waterborne diseases in Nigeria. include Cholera, Dracunculiasis, Hepatitis, and. Typhoid [ 27]. Cases of water borne diseases. linked to contaminations of drinking water with ...

  2. Climate Change Impacts on Waterborne Diseases: Moving Toward Designing

    Purpose: Climate change threatens progress achieved in global reductions of infectious disease rates over recent decades. This review summarizes literature on potential impacts of climate change on waterborne diseases, organized around a framework of questions that can be addressed depending on available data. Recent findings: A growing body of ...

  3. Review Article Water-related disasters and their health impacts: A

    Water-borne diseases are illnesses caused by pathogenic microorganisms often during bathing, washing, drinking, eating, or any other activity where humans have contact with contaminated water. These mainly include diarrheal, respiratory, and skin diseases. Contaminated water supplies increase the risk of exposure to and transmission of water ...

  4. Waterborne Diseases That Are Sensitive to Climate Variability and

    Intensification of the hydrologic cycle can have implications for waterborne pathogens because their exposure pathways are intricately linked to local climate and weather (Figure 1 and Table 1). 6 ...

  5. Severity of waterborne diseases in developing countries and the

    Background It is anticipated that three (3) billion people will experience water stress by 2025 due to limited access to clean water. Water-related diseases and fatalities affect both industrialized and developing countries. Waterborne diseases are challenging worldwide, especially in developing countries. This article evaluates strategies used by various countries, particularly developing ...

  6. Food-borne and water-borne diseases under climate change in low- and

    3.2. Water-borne diseases. The global burden of infectious water-borne diseases is considerable, and even in high-income countries, water-borne illness continues to be a concern (Murphy et al., 2014). Water-borne diseases generally occur via ingestion of water and are highly linked to the quality of drinking water.

  7. Addressing Risk for Waterborne Disease

    Contributors to this chapter discuss a broad range of responses to the threat of waterborne disease, including drinking water disinfection, increasing access to water, improving sanitation, and investment in and implementation of public health interventions. Among these, the most seemingly straightforward approach—water treatment—is actually far from simple, as Philip Singer, of the ...

  8. Cascading risks of waterborne diseases from climate change

    Fig. 1: Graphical representation of the cascading risk pathways from climate change for waterborne diseases. The increase in global average surface temperature due to climate change accelerates ...

  9. Global Distribution of Outbreaks of Water-Associated Infectious Diseases

    The majority of reported outbreaks events were associated with water-borne pathogen including those water-carried. Water-borne diseases have a much broader distribution than other water-associated diseases, suggesting a broader impact of waterborne pathogens in particular those related to fecal-oral route and water, sanitation, and hygiene.

  10. Prevalence and predictors of water-borne diseases among elderly people

    The study aims to bridge the research gap as less attention has been paid on the water borne diseases among the elderly population. The results of the study would further help in embarking knowledge, attitude and practices related to water handling, sanitation and defecation practices among the elderly which might reduce to some extent the load ...

  11. A Perspective on the Global Pandemic of Waterborne Disease

    Waterborne diseases continue to take a heavy toll on the global community, with developing nations, and particularly young children carrying most of the burden of morbidity and mortality. Starting with the historical context, this article explores some of the reasons why this burden continues today, despite our advances in public health over the past century or so. While molecular biology has ...

  12. Waterborne Disease Risk Factors and Intervention Practices: A Review

    Department of Geography, Egerton University, Nakuru, Kenya. Abstract. Waterborne diseases remain a major global public health issue and a great. environmental concern and the outbreak is common in ...

  13. Microbial Waterborne Diseases in India: Status, Interventions, and

    Table 1 Water-borne diseases cases reported during 2014-2019 in India [32, 33] Full size table. Common Waterborne Diseases in India. ... The business of sanitation provides a lot of prospects for the corporate sector to conduct research on waterborne diseases, their management, and methods of reducing their occurrence with innovative products ...

  14. Waterborne Diseases

    Waterborne Diseases. Waterborne diseases remain leading causes of human morbidity and mortality worldwide. Over 95% of waterborne diseases are preventable, and their elimination represents specific Millennium Goal targets. Although the principles of sanitation and treating drinking water are well known, a lack of capital resources, leadership ...

  15. Frontiers

    Background: More than 80% of sewage generated by human activities is discharged into rivers and oceans without any treatment, which results in environmental pollution and more than 50 diseases. 80% of diseases and 50% of child deaths worldwide are related to poor water quality.Methods: This paper selected 85 relevant papers finally based on the keywords of water pollution, water quality ...

  16. National Institute of Environmental Health Sciences

    Exposure to contaminated water can lead to adverse health effects from waterborne illnesses. Swimming or fishing in polluted water sources and consumption of affected seafood are the most common pathways of exposure. Some common water-related illnesses are diarrhea, giardiasis, dysentery, typhoid fever, E. Coli infection, and salmonellosis.

  17. Narrative Review of Primary Preventive Interventions against Water

    1. Introduction. Water-borne diseases (WBDs) are infectious diseases, such as cholera, shigella, typhoid, hepatitis A and E, and poliomyelitis, that are transmitted to humans through contaminated water [].These infections are caused by a number of bacterial, viral, and parasitic organisms where there is inadequate sanitation, hygiene, and safe water for drinking, cooking and cleaning [].

  18. (PDF) Prevalence of water-borne diseases in western India: dependency

    This research is aimed to assess occurrence of water-borne diseases based on personal hygiene and quality of drinking water source. Of the households, 4,237 in 15 selected villages were surveyed ...

  19. Waterborne Diseases That Are Sensitive to Climate Variability and

    Four climate-sensitive waterborne pathogens of public health importance are discussed below. These and other examples are included in Table 1. Non-Vibrio cholerae Vibrio Species. Vibrio bacteria ...

  20. Advancing Water Safety: Meet Huiyun Wu, Ph.D

    My research is to advance technology to be applied in water safety to reliably assess microbial water quality to prevent and reduce waterborne diseases. I applied the open-science concept and developed a reproducible research workflow, which includes standard operation procedures (SOPs) and an open-source metagenomic data analysis pipeline.

  21. Waterborne illnesses now threaten flood-ravaged southern Brazil

    Waterborne diseases are now a risk in Brazil's southernmost state, authorities say, as residents begin to return to flooded homes and clean up after catastrophic floods that killed at least 169 ...

  22. Brazil's flooded south sees first deaths from disease, as experts warn

    SAO PAULO (AP) — The first two deaths from waterborne bacterial disease were reported in southern Brazil, where floodwaters were slowly receding, and health authorities warned additional fatalities were likely. Rio Grande do Sul state's health secretariat confirmed the death of a 33-year-old man due to leptospirosis on Wednesday.

  23. Heart disease and stroke could affect at least 60% of adults in U.S. by

    One report looks at the projected increase in cardiovascular disease rates in the decades ahead, while the other projects their total related costs. "The landscape of cardiovascular disease in the U.S. is seeing the arrival of a near-perfect storm," Dr. Dhruv S. Kazi, vice chair of the advisory writing group, said in a news release. Kazi is ...

  24. Major cause of inflammatory bowel disease found

    The team have found drugs that already exist seem to reverse the disease in laboratory experiments and are now aiming for human trials. Crohn's disease and ulcerative colitis are the most common ...

  25. The Long-Overlooked Molecule That Will Define a Generation of Science

    In the same period, the number of scientific journal articles and patents generated annually by RNA research has quadrupled. There are more than 400 RNA-based drugs in development, beyond the ones ...

  26. Ubiquitous waterborne pathogens

    Bacterial pathogens are classical etiological agents of waterborne diseases globally. These organisms can occur ubiquitously in many aquatic habitats and humid soils. They are an important part of the biocenosis in various substrates or water systems, especially in their preferred habitats, the biofilms.

  27. Scientists identify mechanism behind drug resistance in malaria

    The research sets the foundation for the development of better tools to study RNA modifications and their role in resistance while simultaneously opening new avenues for drug development. RNA-modifying enzymes, especially those linked to resistance, are currently understudied, and they are attractive targets for the development of new and more ...

  28. How Right Wing Commentators Are Pushing Raw Milk Misinformation

    Researchers at the Centers for Disease Control and Prevention found more than 200 disease outbreaks linked to unpasteurized milk from 1998 to 2018, leading to 2,645 illnesses, 228 hospitalizations ...

  29. IJERPH

    Waterborne diseases account for 1.5 million deaths a year globally, particularly affecting children in low-income households in subtropical areas. It is one of the most enduring and economically devastating biological hazards in our society today. The World Health Organization Health Emergency and Disaster Risk Management (health-EDRM) Framework highlights the importance of primary prevention ...

  30. Alzheimer's Takes a Financial Toll Long Before Diagnosis, Study Finds

    The study expands on past research in part through its sheer scale: Researchers had access to health and financial data on nearly 2.5 million older Americans with chronic health conditions ...