Evidence map›Paper›PMID 39179379›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2025

Shared sanitation facilities and risk of respiratory virus transmission in resource-poor settings: A COVID-19 modeling case study.

Michael A L Hayashi, Sophia M Simon, Kaiyue Zou, Hannah Van Wyk, Mondal Hasan Zahid, Joseph N S Eisenberg, Matthew C Freeman

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Michael A L HayashiDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-3335-6196
Sophia M SimonDepartment of Environmental Science and Policy, University of California, Davis, California, USA.
Kaiyue ZouDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-2568-8193
Hannah Van WykDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Mondal Hasan ZahidDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Joseph N S EisenbergDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-8019-296X
Matthew C FreemanGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-1517-2572

Funding

Gates Foundation INV-005081
6 · The paper itself

Abstract

Water supply and sanitation are essential household services frequently shared in resource-poor settings. Shared sanitation can increase the risk of enteric pathogen transmission due to suboptimal cleanliness of facilities used by large numbers of individuals. It also can potentially increase the risk of respiratory disease transmission. As sanitation is an essential need, shared sanitation facilities may act as important respiratory pathogen transmission venues even with strict control measures such as stay-at-home recommendations in place. This analysis explores how behavioral and infrastructural conditions surrounding shared sanitation may individually and interactively influence respiratory pathogen transmission. We developed an individual-based community transmission model using COVID-19 as a motivating example parameterized from empirical literature to explore how transmission in shared latrines interacts with transmission at the community level. We explored mitigation strategies, including infrastructural and behavioral interventions. Our review of empirical literature confirms that shared sanitation venues in resource-poor settings are relatively small with poor ventilation and high use patterns. In these contexts, shared sanitation facilities may act as strong drivers of respiratory disease transmission, especially in areas reliant on shared facilities. Decreasing dependence on shared latrines was most effective at attenuating sanitation-associated transmission. Improvements to latrine ventilation and handwashing behavior were also able to decrease transmission. The type and order of interventions are important in successfully attenuating disease risk, with infrastructural and engineering controls being most effective when administered first, followed by behavioral controls after successful attenuation of sufficient alternate transmission routes. Beyond COVID-19, our modeling framework can be extended to address water, sanitation, and hygiene measures targeted at a range of environmentally mediated infectious diseases.

Indexed as

COVID-19SanitationToilet FacilitiesHumansModels, TheoreticalRisk AssessmentSARS-CoV-2Water Supplyindividual‐based transmission modelinfrastructuremathematical modelrespiratory pathogenssanitationWASH

Identifiers

PMID39179379
PMCPMC11954722

What OpenQuestion holds

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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.