Evidence map›Paper›PMID 39662127›Full record

ArticleInternational journal of hygiene and environmental health2025

Predictors of household drinking water E. coli contamination: Population-based results from rural areas of Ghana, Malawi, Mozambique, Niger, Rwanda, Uganda, and Zambia.

Audrey R Yang, James M Bowling, Camille E Morgan, Jamie Bartram, Georgia L Kayser

Abstract read
In one paragraph

Article in International journal of hygiene and environmental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Audrey R YangHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. Electronic address: aryang@arizona.edu.
James M BowlingDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA. Electronic address: jbowling@email.unc.edu.
Camille E MorganThe Water Institute, Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA. Electronic address: camille_morgan@med.unc.edu.
Jamie BartramThe Water Institute, Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA. Electronic address: j.k.bartram@leeds.ac.uk.
Georgia L KayserThe Water Institute, Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA. Electronic address: gkayser@ucsd.edu.

Funding

Pesticide exposures, mental health and endocrine disruption among children growing up near pesticide spray sites.K01ES031697 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KAYSER, GEORGIA L. · 2020 to 2023
$594k
NIEHS NIH HHS K01 ES031697
6 · The paper itself

Abstract

backgroundIn sub-Saharan Africa, rural areas have lower rates of access to safe drinking water compared to urban areas. We investigated predictors of Escherichia coli contamination in drinking water of rural households in Ghana, Malawi, Mozambique, Niger, Rwanda, Uganda, and Zambia.

methodsWe used a population-based, cluster randomized sampling design to select rural households in each country. Household interviews on water access, sanitation, and hygiene (WaSH) practices and demographic characteristics were conducted and water samples from every fifth household were collected and enumerated for E. coli. Negative binomial regression models with survey sampling weights were run to evaluate predictors of E. coli contamination.

resultsA total of 18,747 rural household surveys (2,378-2,804 per country) were conducted and a total of 3,848 water samples (460-660 per country) were collected. Of surveyed rural households, 61-78% of households had high (11-100 E. coli cfu/100 mL) or very high (>100 cfu/100 mL) risk water quality in Ghana, Niger, and Uganda. Statistically significant WaSH predictors associated with lower E. coli incidence rates included using an improved-type primary water source (Mozambique), storing water in a narrow-mouthed container or container with a spigot (Niger), having continuous water supply during the dry season (Ghana), paying for water service (Rwanda), having soap or ash at handwashing points (Mozambique), having an improved-type household sanitation facility (Malawi), and attaining an education level greater than primary school (Niger and Zambia).

conclusionThis study highlights the variability in WaSH access between rural areas of the study countries in association with microbial drinking water quality.

Indexed as

Drinking WaterEscherichia coliWater MicrobiologyAdultAfrica South of the SaharaFamily CharacteristicsFemaleHumansHygieneMaleRural PopulationSanitationWater QualityWater SupplyDrinking WaterHygieneMicrobial water qualitySanitationSub-saharan africaWaSHWater

Identifiers

PMID39662127
PMCPMC12834120

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.