Evidence map›Paper›PMID 42440386›Full record

ArticleOne health (Amsterdam, Netherlands)2026

A One Health Gender Equality and Social Inclusion (OH GESI) Framework to strengthen equity goals of One Health implementation tools.

Natalia Cediel-Becerra, Dominique F Charron, Maxine Whittaker, Salome A Bukachi

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

4 authors.

Natalia Cediel-BecerraEpidemiology and Public Health Research Group, Faculty of Agricultural Sciences, Universidad de La Salle, Bogotá, Colombia.
Dominique F CharronVisiting Scholar in One Health, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Maxine WhittakerJames Cook University, Bebegu Yamba Campus,1 James CookDrive, Townsville, QLD 4811, Australia.
Salome A BukachiInstitute of Anthropology, Gender and African Studies, University of Nairobi, P. O. Box 30197-00100, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a persistent lack of gender and social inclusion in widely used One Health assessment, planning and implementation tools, underscoring the gap between high-level One Health policy commitments to equality and inclusion and real-world practice. Most One Health tools, including those produced by international agencies with high-level commitments, do not adequately address gender equality or social equity. To tackle this issue, the authors developed the One Health Gender Equality and Social Inclusion assessment framework (OH-GESI), which evaluates how tools support gender equality, empowerment, and social inclusion in One Health. The framework assesses approaches along a continuum-from ignoring inequalities, to being sensitive or responsive, and ultimately to transforming root causes and structural barriers. Application of OH-GESI to tools inventoried by the One Health High Level Expert Panel (OHHLEP) revealed major shortcomings in addressing gender and inclusion, while also pinpointing areas for improvement. The framework provides practical guidance for OH tool developers, users, and stakeholders, encouraging deeper integration of intersectional gender and social analysis into One Health practices. By aligning with the equity principles in the One Health Joint Plan of Action and OHHLEP's core definition, OH-GESI aims to help organizations, governments and stakeholders translate equity and inclusion commitments into meaningful action.

Indexed as

EqualityEquityGenderImplementationOne HealthSocial inclusionTools

Identifiers

PMID42440386
PMCPMC13333313

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.