Evidence map›Paper›PMID 23409905›Full record

ArticleAmerican journal of public health2013

Protective benefits of deep tube wells against childhood diarrhea in Matlab, Bangladesh.

Jennifer Jane Winston, Veronica Escamilla, Carolina Perez-Heydrich, Margaret Carrel, Mohammad Yunus, Peter Kim Streatfield, Michael Emch

Abstract read
In one paragraph

Article in American journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Jennifer Jane WinstonDepartment of Geography, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27599-3220, USA.
Veronica Escamilla
Carolina Perez-Heydrich
Margaret Carrel
Mohammad Yunus
Peter Kim Streatfield
Michael Emch

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Training in Sexually Transmitted Infections and HIVT32AI007001 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SENA-SOBERANO, ARLENE C. · 1985 to 2025
$10.9M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Integration of Spatial and Social Network Analysis in Vaccine TrialsR03AI076748 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EMCH, MICHAEL · 2009 to 2010
$147k
NIAID NIH HHS 5 T32AI07001-36NIAID NIH HHS R03 AI076748NIAID NIH HHS R03-AI076748NIAID NIH HHS T32 AI007001NICHD NIH HHS 5 R24 HD050924NICHD NIH HHS 5 T32 HD007168NICHD NIH HHS R24 HD050924NICHD NIH HHS T32 HD007168NIEHS NIH HHS T32 ES007018NIEHS NIH HHS T32ES007018
6 · The paper itself

Abstract

objectivesWe investigated whether deep tube wells installed to provide arsenic-free groundwater in rural Bangladesh have the added benefit of reducing childhood diarrheal disease incidence.

methodsWe recorded cases of diarrhea in children younger than 5 years in 142 villages of Matlab, Bangladesh, during monthly community health surveys in 2005 and 2006. We surveyed the location and depth of 12,018 tube wells and integrated these data with diarrhea data and other data in a geographic information system. We fit a longitudinal logistic regression model to measure the relationship between childhood diarrhea and deep tube well use. We controlled for maternal education, family wealth, year, and distance to a deep tube well.

resultsHousehold clusters assumed to be using deep tube wells were 48.7% (95% confidence interval = 27.8%, 63.5%) less likely to have a case of childhood diarrhea than were other household clusters.

conclusionsIncreased access to deep tube wells may provide dual benefits to vulnerable populations in Matlab, Bangladesh, by reducing the risk of childhood diarrheal disease and decreasing exposure to naturally occurring arsenic in groundwater.

Indexed as

Rural PopulationBangladeshChild, PreschoolDiarrheaEducational StatusHealth SurveysHumansIncidenceIncomeInfantInfant, NewbornLogistic ModelsRisk FactorsTime FactorsWater Wells

Identifiers

PMID23409905
PMCPMC3676444

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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.