Evidence map›Paper›PMID 28719269›Full record

ArticleThe American journal of tropical medicine and hygiene2017

The Influence of Household- and Community-Level Sanitation and Fecal Sludge Management on Urban Fecal Contamination in Households and Drains and Enteric Infection in Children.

David Berendes, Amy Kirby, Julie A Clennon, Suraja Raj, Habib Yakubu, Juan Leon, Katharine Robb, Arun Kartikeyan, Priya Hemavathy, Annai Gunasekaran and 5 more

Open access · hybridAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

15 authors at 2 institutions in 2 countries.

David BerendesDepartment of Environmental Engineering, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia.
Amy KirbyHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Julie A ClennonDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Suraja RajCenter for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Atlanta, Georgia.
Habib YakubuCenter for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Atlanta, Georgia.
Juan LeonHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Katharine RobbCenter for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Atlanta, Georgia.
Arun KartikeyanWellcome Research Laboratory, Christian Medical College, Vellore, India.
Priya HemavathyWellcome Research Laboratory, Christian Medical College, Vellore, India.
Annai GunasekaranWellcome Research Laboratory, Christian Medical College, Vellore, India.
Ben GhaleWellcome Research Laboratory, Christian Medical College, Vellore, India.
J Senthil KumarDepartment of Community Health, Christian Medical College, Vellore, India.
Venkata Raghava MohanDepartment of Community Health, Christian Medical College, Vellore, India.
Gagandeep KangWellcome Research Laboratory, Christian Medical College, Vellore, India.
Christine MoeHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Christian Medical College & Hospital · INEmory University · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

AbstractUrban sanitation necessitates management of fecal sludge inside and outside the household. This study examined associations between household sanitation, fecal contamination, and enteric infection in two low-income neighborhoods in Vellore, India. Surveys and spatial analysis assessed the presence and clustering of toilets and fecal sludge management (FSM) practices in 200 households. Fecal contamination was measured in environmental samples from 50 households and household drains. Enteric infection was assessed from stool specimens from children under 5 years of age in these households. The two neighborhoods differed significantly in toilet coverage (78% versus 33%) and spatial clustering. Overall, 49% of toilets discharged directly into open drains ("poor FSM"). Children in households with poor FSM had 3.78 times higher prevalence of enteric infection when compared with children in other households, even those without toilets. In the neighborhood with high coverage of household toilets, children in households with poor FSM had 10 times higher prevalence of enteric infection than other children in the neighborhood and drains in poor FSM clusters who had significantly higher concentrations of genogroup II norovirus. Conversely, children in households with a toilet that contained excreta in a tank onsite had 55% lower prevalence of enteric infection compared with the rest of the study area. Notably, households with a toilet in the neighborhood with low toilet coverage had more fecal contamination on floors where children played compared with those without a toilet. Overall, both toilet coverage levels and FSM were associated with environmental fecal contamination and, subsequently, enteric infection prevalence in this urban setting.

Indexed as

SanitationToilet FacilitiesCampylobacterChild, PreschoolEnvironmental MonitoringEscherichia coliFecesHand DisinfectionHumansHygieneIndiaLinear ModelsPrevalenceSewageWater MicrobiologyWater SupplySewage

Identifiers

PMID28719269
PMCPMC5462580
OpenAlexW2600957188

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.