Evidence map›Paper›PMID 42827932›Full record

ArticleDiscover public health2026

A simple approach to identifying community and healthcare locations for hand hygiene interventions during public health emergencies - Uganda, 2020-2022.

Alexandra Medley, Kanako Ishida, Sauda Yapswale, Francis Ocitti, Maureen Kesande, Fred Tusabe, Victoria Trinies, Christiana Hug, Caroline Pratt, Christy Craig and 2 more

Abstract read
In one paragraph

Article in Discover public health, 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

12 authors.

Alexandra Medley *Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA USA.ORCID https://orcid.org/0000-0002-1288-2034
Kanako Ishida *Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA USA.
Sauda YapswaleInfectious Disease Institute, Makerere University, Kampala, Uganda.
Francis OcittiInfectious Disease Institute, Makerere University, Kampala, Uganda.
Maureen KesandeInfectious Disease Institute, Makerere University, Kampala, Uganda.
Fred TusabeInfectious Disease Institute, Makerere University, Kampala, Uganda.
Victoria TriniesDivision of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA USA.
Christiana HugDivision of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA USA.
Caroline PrattDivision of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA USA.
Christy CraigDivision of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA USA.
Mohammed LamordeInfectious Disease Institute, Makerere University, Kampala, Uganda.
David BerendesDivision of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As part of Uganda's COVID-19 emergency response, two districts along high-volume trucker routes linked to early clusters, Amuru and Tororo, were prioritized for hand hygiene (HH) interventions. While HH is a critical non-pharmaceutical intervention, tools to efficiently identify high-risk community locations during outbreaks are limited. Methods: We adapted the Population Connectivity Across Borders (PopCAB) tool, developed by the U.S. Centers for Disease Control and Prevention, to identify and prioritize high-risk community locations and healthcare facilities (HCF) and inform targeted HH interventions, including provision of alcohol-based hand rub (ABHR), handwashing stations (HWS), and site-level support. Additional questions assessed HH infrastructure and ABHR perceptions. A mixed-methods baseline assessment was followed by implementation and post-intervention assessments. Quantitative indicators were compared using chi-square tests. Qualitative data were analyzed using deductive thematic analysis. Results: Between 2020 and 2021, four focus group discussions and 17 key informant interviews with 56 participants identified 734 locations. Fifty-nine community sites and 21 HCF were prioritized. At baseline, HWS availability varied, and community members often preferred ABHR over shared stations. Between baseline and follow-up, HWS and ABHR availability in community locations increased from 63 to 85% and 40 to 83%, respectively. In HCF, sufficient ABHR availability increased from 9 to 91%. However, consistent access was constrained by theft, breakage, supply shortages, and limited maintenance systems. Conclusion: PopCAB identified high-risk locations often overlooked by routine WASH programming and informed targeted HH interventions. While access improved, sustainability challenges highlight the need for strengthened operational and maintenance strategies in emergency response settings. Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s12982-026-02802-4.

Identifiers

PMID42827932
PMCPMC13630945

What OpenQuestion holds

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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.