Evidence map›Paper›PMID 33651818›Full record

ArticlePLoS neglected tropical diseases2021

Impact of sampling depth on pathogen detection in pit latrines.

Drew Capone, Petros Chigwechokha, Francis L de Los Reyes, Rochelle H Holm, Benjamin B Risk, Elizabeth Tilley, Joe Brown

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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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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.

Drew CaponeCivil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.ORCID 0000-0002-2138-6382
Petros ChigwechokhaDirectorate of Research, Malawi University of Science and Technology, Blantyre, Malawi.ORCID 0000-0002-2277-6518
Francis L de Los ReyesDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0002-3593-0932
Rochelle H HolmCentre of Excellence in Water and Sanitation, Mzuzu University, Mzuzu, Malawi.ORCID 0000-0001-8849-1390
Benjamin B RiskDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0003-1090-0777
Elizabeth TilleyDepartment of Environmental Health, University of Malawi, Blantyre, Malawi.ORCID 0000-0002-2095-9724
Joe BrownCivil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.ORCID 0000-0002-5200-4148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater based epidemiology (WBE) is increasingly used to provide decision makers with actionable data about community health. WBE efforts to date have primarily focused on sewer-transported wastewater in high-income countries, but at least 1.8 billion people in low- and middle-income countries (LMIC) use onsite sanitation systems such as pit latrines and septic tanks. Like wastewater, fecal sludges from such systems offer similar advantages in community pathogen monitoring and other epidemiological applications. To evaluate the distribution of enteric pathogens inside pit latrines-which could inform sampling methods for WBE in LMIC settings unserved by sewers-we collected fecal sludges from the surface, mid-point, and maximum-depth of 33 pit latrines in urban and peri-urban Malawi and analyzed the 99 samples for 20 common enteric pathogens via multiplex quantitative reverse transcription PCR. Using logistic regression adjusted for household population, latrine sharing, the presence of a concrete floor or slab, water source, and anal cleansing materials, we found no significant difference in the odds of detecting the 20 pathogens from the mid-point (adjusted odds ratio, aOR = 1.1; 95% confidence interval = 0.73, 1.6) and surface samples (aOR = 0.80, 95% CI = 0.54, 1.2) compared with those samples taken from the maximum depth. Our results suggest that, for the purposes of routine pathogen monitoring, pit latrine sampling depth does not strongly influence the odds of detecting enteric pathogens by molecular methods. A single sample from the pit latrines' surface, or a composite of surface samples, may be preferred as the most recent material contributed to the pit and may be easiest to collect.

Indexed as

Toilet FacilitiesAnimalsDNA, BacterialDNA, HelminthDNA, ProtozoanDNA, ViralHumansMalawiMultiplex Polymerase Chain ReactionResidence CharacteristicsSewageSpecimen HandlingUrban PopulationDNA, BacterialDNA, HelminthDNA, ProtozoanDNA, ViralSewage

Identifiers

PMID33651818
PMCPMC7954291

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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.