Evidence map›Paper›PMID 39633847›Full record

ReviewScience in One Health2024

One Health governance: theory, practice and ethics.

Yinling Zhou, Roger Frutos, Issam Bennis, Mayumi D Wakimoto

Abstract readReview
In one paragraph

Review in Science in One Health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Yinling ZhouWuhan University Institute of International Law/Wuhan University Academy of International Law and Global Governance, Wuhan 430071, Hubei, China.
Roger FrutosCirad, Intertryp, Montpellier 34070, France.
Issam BennisMohammed VI International School of Public Health at Mohammed VI University of Sciences and Health, Morocco.
Mayumi D WakimotoEvandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One Health approach is a global public good (GPG) that invites governance to maximize the health of humans, animals, and the environment by shaping interdisciplinary and cross-sectoral collaboration. This paper explores the theoretical foundations, practical applications, and ethical considerations of the One Health governance architecture. At the theoretical level, One Health governance invites systems thinking and involves collaborative efforts among multiple stakeholders, applying across multi-layered scenarios and requires public-private partnership (PPP). This governance architecture transcends traditional anthropocentrism and shifts towards ecocentrism, highlighting the integrity of ecosystems and the deep prevention of diseases. Selected case studies illustrate the implementation of One Health initiatives, such as shared water resources, disease surveillance programmes, and sustainable environmental health interventions, demonstrating the added value of a collaborative efforts across sectors and regions. Ethical considerations are integral to decision-making and actions of One Health governance, with a focus on equity, inclusivity and accountability, providing moral guidelines to prioritize the health of vulnerable populations and ecosystems. Through these efforts, One Health governance is expected to improve public health globally, promote sustainable development, and achieve a harmonious coexistence of human, animal, and environmental health.

Indexed as

Ethical considerationsGlobal healthMulti-sectoral collaborationOne Health governanceSustainable developmentTheoretical framework

Identifiers

PMID39633847
PMCPMC11616075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.