Evidence map›Paper›PMID 42620400›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Household determinants of animal and human fecal contamination on floors and hands in northwestern coastal Ecuador.

Viviana Albán, Kelsey J Jesser, Aldo Lobos, Javier Gallard-Góngora, April M Ballard, Gwenyth O Lee, Joseph N S Eisenberg, Erica R Fuhrmeister, Joan A Casey, Gabriel Trueba and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Viviana AlbánDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Kelsey J JesserDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Aldo LobosDepartment of Integrative Biology, University of South Florida, Tampa, Florida, USA.
Javier Gallard-GóngoraDepartment of Integrative Biology, University of South Florida, Tampa, Florida, USA.
April M BallardDepartment of Population Health Sciences, Georgia State University School of Public Health, Atlanta, GA, USA.
Gwenyth O LeeRutgers Global Health Institute and Department of Biostatistics and Epidemiology, Rutgers University, New Brunswick, New Jersey, USA.
Joseph N S EisenbergDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Erica R FuhrmeisterDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Joan A CaseyDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Gabriel TruebaInstituto de Microbiología, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador.
Christine Fagnant-SperatiDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Valerie J HarwoodDepartment of Integrative Biology, University of South Florida, Tampa, Florida, USA.
Karen LevyDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
ECoMiD Authorship Group

Funding

Environmetal Pathology/Toxicology Training ProgramT32ES007032 · NIEHS · UNIVERSITY OF WASHINGTON · PI FAUSTMAN, ELAINE M, ROSENFELD, MICHAEL E · 1985 to 2023
$10.7M
Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
Gut microbiome, enteric infections and child growth across a rurual urban gradientR01AI137679 · NIAID · UNIVERSITY OF WASHINGTON · PI EISENBERG, JOSEPH N. S., LEVY, KAREN · 2018 to 2023
$5.3M
NIAID NIH HHS R01 AI137679NIEHS NIH HHS T32 ES007032NIEHS NIH HHS T32 ES012870
6 · The paper itself

Abstract

Household environments in low-resource settings can become contaminated with fecal matter from multiple sources, including humans and domestic animals. Identifying the source of fecal contamination is critical for designing targeted interventions to reduce exposure to enteric pathogens, particularly for young children who bear the majority of the enteric disease burden. Using data from 140 households with children enrolled in the ECoMiD cohort study in northwestern coastal Ecuador, we (1) characterized source-specific fecal contamination in samples from household floors and maternal and child hands, and (2) identified animal-related and Water, Sanitation and Hygiene (WASH) conditions associated with the presence and concentrations of these markers. We used five qPCR-based microbial source tracking (MST) markers to detect fecal contamination from avian (GFD), canine (DG37), swine (Pig2Bac), ruminant (Rum2Bac), and human (HF183) sources. Prevalence ratios (PR) and mean differences comparing the presence/absence and concentration, respectively, of MST markers between households with and without each animal-related or WASH condition were estimated using generalized linear models with Poisson and Gaussian distributions. Animal MST markers tracked strongly with several animal-related conditions, whereas associations between the human MST marker and household demographic and WASH conditions were more limited. Animal ownership (PR 1.53; 95% CI: 1.04-2.26) was associated with higher prevalence of animal MST markers on floors. Households reporting animal feces indoors had higher prevalence of animal MST markers on floors (PR 1.84; 95% CI: 1.17-2.89), and higher concentrations of animal MST markers on child hands (mean difference 0.27 gene copies (gc)/m

Identifiers

PMID42620400
PMCPMC13484808

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LicenceCC BY
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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.