ArticlePloS one2011
Increase in diarrheal disease associated with arsenic mitigation in Bangladesh.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Interventions to improve water quality for preventing diarrhoea.The Cochrane database of systematic reviews · 2015Pooled it
- Trial
- Deep Tubewell Use and Child Diarrhea in Rural Bangladesh: Results from a Prospective Community Surveillance Study.Environmental health perspectives · 2026Article
- Using Spatial Technologies to Assess Risk Factors for Diarrheal Disease Under Environmental Variability in Bangladesh: A Machine Learning Study.International journal of environmental research and public health · 2025Article
- Deep tubewell use is associated with increased household microbial contamination in rural Bangladesh: Results from a prospective cohort study among households in rural Bangladesh.Environmental pollution (Barking, Essex : 1987) · 2023Article
- High Prevalence of Chemical and Microbiological Drinking Water Contaminants in Households with Infants Enrolled in a Birth Cohort-Piura, Peru, 2016.The American journal of tropical medicine and hygiene · 2022Article
- The economic burden of diarrhea in children under 5 years in Bangladesh.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Article
- Microbiological and Chemical Assessment of Wastewater Discharged by Infiltration Trenches in Fractured and Karstified Limestone (SCA.Re.S. Project 2019-2020).Pathogens (Basel, Switzerland) · 2020Article
- Considering Alternate Pathways of Drinking-Water Contamination: Evidence of Risk Substitution from Arsenic Mitigation Programs in Rural Bangladesh.International journal of environmental research and public health · 2020Article
- Effectiveness of Different Approaches to Arsenic Mitigation over 18 Years in Araihazar, Bangladesh: Implications for National Policy.Environmental science & technology · 2019Article
- Deep tubewell microbial water quality and access in arsenic mitigation programs in rural Bangladesh.The Science of the total environment · 2019Article
- State of the science review of the health effects of inorganic arsenic: Perspectives for future research.Environmental toxicology · 2019Review
- Seeking evidence of multidisciplinarity in environmental geochemistry and health: an analysis of arsenic in drinking water research.Environmental geochemistry and health · 2018Article
- Enteric Viruses and Fecal Bacteria Indicators to Assess Groundwater Quality and Suitability for Irrigation.International journal of environmental research and public health · 2017Article
- Influence of Climate Extremes and Land Use on Fecal Contamination of Shallow Tubewells in Bangladesh.Environmental science & technology · 2016Article
- Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China.PloS one · 2015Article
- Association of climate variability and childhood diarrhoeal disease in rural Bangladesh, 2000-2006.Epidemiology and infection · 2014Article
- Importance of Reversible Attachment in PredictingAdvances in water resources · 2014Article
- Protective benefits of deep tube wells against childhood diarrhea in Matlab, Bangladesh.American journal of public health · 2013Article
- Impact of a Randomized Controlled Trial in Arsenic Risk Communication on Household Water-Source Choices in Bangladesh.Journal of environmental economics and management · 2013Article
Corrections and comments
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Authors and funding
15 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundMillions of households throughout Bangladesh have been exposed to high levels of arsenic (As) causing various deadly diseases by drinking groundwater from shallow tubewells for the past 30 years. Well testing has been the most effective form of mitigation because it has induced massive switching from tubewells that are high (>50 µg/L) in As to neighboring wells that are low in As. A recent study has shown, however, that shallow low-As wells are more likely to be contaminated with the fecal indicator E. coli than shallow high-As wells, suggesting that well switching might lead to an increase in diarrheal disease.
methodsApproximately 60,000 episodes of childhood diarrhea were collected monthly by community health workers between 2000 and 2006 in 142 villages of Matlab, Bangladesh. In this cross-sectional study, associations between childhood diarrhea and As levels in tubewell water were evaluated using logistic regression models.
resultsAdjusting for wealth, population density, and flood control by multivariate logistic regression, the model indicates an 11% (95% confidence intervals (CIs) of 4-19%) increase in the likelihood of diarrhea in children drinking from shallow wells with 10-50 µg/L As compared to shallow wells with >50 µg/L As. The same model indicates a 26% (95%CI: 9-42%) increase in diarrhea for children drinking from shallow wells with ≤10 µg/L As compared to shallow wells with >50 µg/L As.
conclusionChildren drinking water from shallow low As wells had a higher prevalence of diarrhea than children drinking water from high As wells. This suggests that the health benefits of reducing As exposure may to some extent be countered by an increase in childhood diarrhea.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.