Evidence map›Paper›PMID 40342871›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Operationalizing regional One Health initiatives in Southeast Asia: Ways forward.

Steven Lâm, Sinh Dang-Xuan, Fred Unger, Tongkorn Meeyam, Phuc Pham-Duc, Supaporn Wacharapluesadee, Hung Nguyen-Viet

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

7 authors.

Steven LâmInternational Livestock Research Institute, Nairobi, Kenya.
Sinh Dang-XuanInternational Livestock Research Institute, Hanoi, Viet Nam.
Fred UngerInternational Livestock Research Institute, Hanoi, Viet Nam.
Tongkorn MeeyamSoutheast Asia One Health University Network, Chiang Mai, Thailand.
Phuc Pham-DucHanoi University of Public Health, Hanoi, Viet Nam.
Supaporn WacharapluesadeeThai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Hung Nguyen-VietInternational Livestock Research Institute, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operationalizing One Health initiatives that link human, animal, and environmental health at the regional level is key for jointly addressing infectious diseases that can cross borders. This work is urgently needed in Southeast Asia, a recognized hotspot for emerging animal and human infectious diseases that have the potential to spread globally. As such, our objective is to identify action items to advance regional One Health efforts in Southeast Asia. We organized a 1.5-day workshop that convened 34 experts from government, national research institutes, universities, and international organizations spanning seven countries in Southeast Asia. Group discussions and prioritization exercises were conducted which led to 12 action items, serving as ideas for resourcing, operationalizing, and implementing One Health efforts in Southeast Asia. Participants also emphasized the importance of sustained funding, a collective voice, and a willingness among members to be bold in their collective efforts. Given the heightened focus on zoonotic risks in Southeast Asia, harnessing this momentum by operationalizing regional efforts could establish a solid foundation to draw on when facing future global health threats.

Indexed as

Multisectoral coordinationOne healthOperationalizationRegional workshopSoutheast Asia

Identifiers

PMID40342871
PMCPMC12059403

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.