Evidence map›Paper›PMID 36284563›Full record

ArticleMedecine tropicale et sante internationale2022

[The comeback of "one health" and global health: let us not make the same mistakes again].

Valéry Ridde, Étienne Guillard, Adama Faye

Abstract readEnglish Abstract
In one paragraph

Article in Medecine tropicale et sante internationale, 2022. 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. Review
  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

3 authors.

Valéry RiddeUniversité Paris Cité, IRD, INSERM, CEPED, Paris, France.
Étienne GuillardSOLTHIS, Solidarité thérapeutique et initiatives pour la santé, Paris, France.
Adama FayeISED, Institut de santé et développement, Université Cheikh Anta Diop, Dakar, Sénégal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has led to a rediscovery of the concept of "One Health" and the idea that animals, humans and the environment are intimately linked. This is not a new concept, but it is still labile, contributing to inevitable confusion. There is still a lack of action on the ground, and "One Health" fails to integrate all three dimensions. This editorial aims to share six challenges for implementing the "One Health" approach in order to avoid the pitfalls of other global health initiatives. One Health programmes cannot be relevant and sustainable without the active involvement of communities. This deployment implies the necessary decolonisation of health, i.e. a rethinking of how programmes are governed, financed, formulated, implemented and evaluated, with and for the citizens and countries concerned. It cannot be done without addressing social inequalities in health and power issues. This approach leads to questioning the exploitation models of both agricultural and natural resources. Thinking about "One Health" implies thinking about issues and interventions from an intersectoral, inclusive and participatory perspective, from an interdisciplinary, if not transdisciplinary perspective, and understanding the resulting complexity. Finally, research findings should be taken into account to build public actions. Considering these different challenges and adopting a systemic and interdisciplinary perspective anchored in local contexts according to a participatory and inclusive approach thus seems essential to us to respond in an appropriate, relevant and sustainable manner to the issues associated with "One Health".

Indexed as

COVID-19One HealthGlobal HealthHumansPandemicsSocioeconomic FactorsGlobal healthGlobalizationOne Health

Identifiers

PMID36284563
PMCPMC9557820

What OpenQuestion holds

Textmetadata
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.