Evidence map›Paper›PMID 38881628›Full record

ArticleEnvironmental science & technology letters2020

Analysis of fecal sludges reveals common enteric pathogens in urban Maputo, Mozambique.

Drew Capone, David Berendes, Oliver Cumming, Jackie Knee, Rassul Nalá, Benjamin B Risk, Christine Stauber, Kevin Zhu, Joe Brown

Abstract read
In one paragraph

Article in Environmental science & technology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  11. Simultaneous detection and quantification of multiple pathogen targets in wastewater.medRxiv : the preprint server for health sciences · 2023
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  16. PersistentEnvironmental science & technology · 2022
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  17. 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

9 authors.

Drew CaponeCivil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, 30332, United States of America.
David BerendesWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, 30329, United States of America.
Oliver CummingDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, WC1E 7HT, London, United Kingdom.
Jackie KneeDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, WC1E 7HT, London, United Kingdom.
Rassul NaláMinistério da Saúde, Instituto Nacional de Saúde Maputo, Maputo, Mozambique.
Benjamin B RiskDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, 30322, United States of America.
Christine StauberSchool of Public Health, Georgia State University, Atlanta, Georgia, 30302, United States of America.
Kevin ZhuCivil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, 30332, United States of America.
Joe BrownCivil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, 30332, United States of America.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Sewage surveillance is increasingly used in public health applications: metabolites, biomarkers, and pathogens are detectable in wastewater and can provide useful information about community health. Work on this topic has been limited to wastewaters in mainly high-income settings, however. In low-income countries, where the burden of enteric infection is high, non-sewered sanitation predominates. In order to assess the utility of fecal sludge surveillance as a tool to identify the most prevalent enteric pathogens circulating among at-risk children, we collected 95 matched child stool and fecal sludge samples from household clusters sharing latrines in urban Maputo, Mozambique. We analyzed samples for 20 common enteric pathogens via multiplex real-time quantitative PCR. Among the 95 stools matched to fecal sludges, we detected the six most prevalent bacterial pathogens (

Identifiers

PMID38881628
PMCPMC11177333

What OpenQuestion holds

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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.