Evidence map›Paper›PMID 42835832›Full record

ArticleOne health (Amsterdam, Netherlands)2026

Adapting the One Health zoonotic disease prioritization tool for subnational One Health implementation through comparative analysis of disease severity and governance-driven approaches.

Soawapak Hinjoy, Kittichai Unjit, Anyarat Thiptara, Wansane Toanan, Ariya Bunngamchairat, Pusana Rodsom, Sukunlaya Sirisukkarn, Sudarat Damrongwatanapokin, Serge Morand

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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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Soawapak HinjoyDepartment of Disease Control, Ministry of Public Health, 11000, Thailand.
Kittichai UnjitDepartment of Livestock Development, Ministry of Agriculture and Cooperatives, 10900, Thailand.
Anyarat ThiptaraDepartment of Livestock Development, Ministry of Agriculture and Cooperatives, 10900, Thailand.
Wansane ToananDepartment of National Parks, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, 10900, Thailand.
Ariya BunngamchairatFaculty of Public Health, Mahidol University, 10400, Thailand.
Pusana RodsomDepartment of Disease Control, Ministry of Public Health, 11000, Thailand.
Sukunlaya SirisukkarnDepartment of Disease Control Foundation, 11000, Thailand.
Sudarat DamrongwatanapokinDepartment of Disease Control, Ministry of Public Health, 11000, Thailand.
Serge MorandIRL HealthDEEP CNRS, 10900, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Zoonotic and environmentally driven health threats increasingly emerge at the human-animal-environment interface, highlighting the need for prevention-oriented and community-centered One Health approaches. This study adapted the OHZDP tool developed by the United States Centers for Disease Control and Prevention (U.S. CDC) for subnational use in Thailand, integrating environmental and social science perspectives and expanding community participation to ensure context-specific and operationally relevant prioritization. Methods: A comparative mixed-methods case study was conducted in two Thai provinces-Ubon Ratchathani and Nan-using multisectoral, four-day participatory workshops in 2025. Approximately seventy participants per province represented human, animal, environmental health, local governance, and civil society sectors. Health hazards were identified using an all-hazards approach. Six decision criteria were weighted through multisectoral consensus, and hazards were scored using a structured multi-criteria framework, complemented by qualitative deliberation to generate consensus-based prioritization. Results: Prioritization outcomes differed between provinces due to variations in criteria weighting. Ubon Ratchathani emphasized biomedical severity and cross-sectoral impact, prioritizing emerging infectious diseases, rabies, non-communicable diseases, and other high-mortality infections, reflecting a catastrophic risk preparedness profile. In contrast, Nan prioritized governance capacity and policy feasibility, resulting in rankings dominated by environmental and governance-dependent hazards, including PM2.5 air pollution, open waste burning, stray dog management, agricultural chemical exposure, and climate-related disasters. Conclusions: Community-led adaptation of prioritization tools strengthens subnational One Health action. Integrating governance, environmental, and social determinants into biomedical frameworks enhances multisectoral engagement, supports prevention-focused implementation, strengthens early warning systems, and builds community resilience against zoonotic disease emergence.

Indexed as

Community engagementOne HealthSubnational health threats prioritizationThailand

Identifiers

PMID42835832
PMCPMC13635858

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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.