Evidence map›Paper›PMID 40404875›Full record

ArticleCommunications medicine2025

An analysis of One Health timeliness metrics across multisectoral public health emergencies in Uganda.

Jane K Fieldhouse, Lydia Nakiire, Joshua Kayiwa, Ali Mirzazadeh, Claire D Brindis, Ashley Mitchell, Jaime Sepulveda, Issa Makumbi, Alex Riolexus Ario, Elizabeth Fair and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Jane K FieldhouseOne Health Institute, University of California, Davis, CA, USA. jkfieldhouse@ucdavis.edu.ORCID http://orcid.org/0000-0002-5450-0970
Lydia NakiirePublic Health Emergency Operations Centre, Ministry of Health Uganda, Kampala, Uganda.
Joshua KayiwaPublic Health Emergency Operations Centre, Ministry of Health Uganda, Kampala, Uganda.ORCID http://orcid.org/0000-0002-3720-8900
Ali MirzazadehInstitute for Global Health Sciences, University of California, San Francisco, CA, USA.
Claire D BrindisInstitute for Global Health Sciences, University of California, San Francisco, CA, USA.
Ashley MitchellInstitute for Global Health Sciences, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-6351-3204
Jaime SepulvedaInstitute for Global Health Sciences, University of California, San Francisco, CA, USA.
Issa MakumbiPublic Health Emergency Operations Centre, Ministry of Health Uganda, Kampala, Uganda.
Alex Riolexus ArioUganda National Institute of Public Health, Ministry of Health, Kampala, Uganda.ORCID http://orcid.org/0000-0002-3560-1952
Elizabeth FairInstitute for Global Health Sciences, University of California, San Francisco, CA, USA.
Sarah GallaleeInstitute for Global Health Sciences, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0493-5693
Herbert IsabiryePublic Health Emergency Operations Centre, Ministry of Health Uganda, Kampala, Uganda.
Musa SekamatteNational One Health Platform, Ministry of Health Uganda, Kampala, Uganda.
Brian H BirdOne Health Institute, University of California, Davis, CA, USA.
Woutrina SmithOne Health Institute, University of California, Davis, CA, USA.
Angel DesaiOne Health Institute, University of California, Davis, CA, USA.
Jonna A K MazetOne Health Institute, University of California, Davis, CA, USA. jkmazet@ucdavis.edu.ORCID http://orcid.org/0000-0002-8712-5951
Mohammed LamordeInfectious Diseases Institute, Makerere University, Kampala, Uganda.

Funding

United States Agency for International Development (U.S. Agency for International Development) Cooperative Agreement Number 7200AA19CA00018
6 · The paper itself

Abstract

backgroundTimeliness metrics offer countries a framework by which to assess and optimize speed in outbreak detection and response times. This study analyses the One Health timeliness metrics for multisectoral public health emergencies in Uganda to identify and explore factors influencing outbreak performance.

methodsWe compiled a database of outbreak events in Uganda occurring between 2018-2022 and involving the human, animal, plant, and environmental sectors. Outbreak milestone dates were extracted from reports to calculate timeliness metrics, which were analyzed using proportional hazards regression models. Concurrently, we conducted Key Informant Interviews to explore factors affecting detection and response timeliness.

resultsIntegrated analyses of timeliness metrics from 81 outbreaks and expert interviews reveal that the greatest predictors of improved timeliness are frequent past experience with similar disease outbreaks and whether an outbreak is a viral hemorrhagic fever due to heightened perceived threat and pre-existing preparedness measures. Other factors, including diagnostic and laboratory considerations and contextual influences, such as One Health collaborations, are also described as relevant to timeliness.

conclusionsTo complement positive timeliness trends in Uganda, disease-agnostic investments in outbreak preparedness and response efforts will facilitate the ability of health systems to rapidly detect and respond to all outbreaks, irrespective of the pathogen.

Identifiers

PMID40404875
PMCPMC12098913

What OpenQuestion holds

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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.