Evidence map›Paper›PMID 41225638›Full record

ArticleInfectious diseases of poverty2025

Adaptation of global One Health evaluation framework to municipal levels in Fukuoka, Japan.

Fumihiko Yokota, Yi-Sheng Ning, Shu-Ning Chen, Hisako Nomura, Shunsuke Managi, Jing-Shu Liu, Xiao-Xi Zhang, Xiao-Nong Zhou, Shuji Shimizu

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Article in Infectious diseases of poverty, 2025. 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.

Fumihiko Yokota *Institute for Asian and Oceanian Studies, Kyushu University, 744 Motooka, Nishi, Fukuoka, 819-0395, Japan. yokota.fumihiko.785@m.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0002-8452-6063
Yi-Sheng Ning *College of Economics & Management, Northwest A and F University, Shaanxi, China.
Shu-Ning ChenGraduate School of Engineering, Kyushu University, Fukuoka, Japan.
Hisako NomuraCollege of Economics & Management, Northwest A and F University, Shaanxi, China.
Shunsuke ManagiGraduate School of Engineering, Kyushu University, Fukuoka, Japan.
Jing-Shu LiuSchool of Global Health, Chinese Center for Tropical Diseases Shanghai Jiao Tong University, Shanghai, China.
Xiao-Xi ZhangSchool of Global Health, Chinese Center for Tropical Diseases Shanghai Jiao Tong University, Shanghai, China.
Xiao-Nong ZhouSchool of Global Health, Chinese Center for Tropical Diseases Shanghai Jiao Tong University, Shanghai, China.
Shuji ShimizuInstitute for Asian and Oceanian Studies, Kyushu University, 744 Motooka, Nishi, Fukuoka, 819-0395, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe One Health approach recognizes the interconnectedness of human, animal, and environmental health to address global health threats. While the global One Health Index (GOHI) has been applied nationally, its adaptation to sub-national contexts remains unexplored. This study aimed to adapt GOHI to construct localized indicators for Fukuoka, Japan, and assess One Health implementation across municipalities.

methodsThe research followed a three-phase approach: (1) Indicator Selection, where 34 indicators were selected from GOHI and Fukuoka One Health Promotion Action Plan through expert consultation; (2) Data Collection and Score Standardization using robust scaling methods; and (3) Weight Determination using Fuzzy Analytic Hierarchy Process. Fukuoka One Health Index (FOHI) scores were computed and analyzed using descriptive statistics and Latent Class Analysis (LCA).

resultsThe mean FOHI score was 52.27 (range: 41.01-63.71), with the lowest average score in Core Drivers Index (47.11) compared to Internal Drivers Index (59.17) and External Drivers (50.43). Municipalities performed strongest in zoonotic disease management (72.33) but weakest in One Health governance (6.36). Miyama City achieved the highest overall score, demonstrating strong governance and integrated implementations. LCA identified two municipal classes differentiated by External Drivers Index scores with clear geographic clustering.

conclusionsThis study demonstrated the feasibility of adapting GOHI to municipal settings and revealed significant variation in One Health implementation across Fukuoka's municipalities. Performance gaps were identified, particularly in One Health governance despite strong health infrastructure. The methodology offers a blueprint for similar adaptations globally, potentially accelerating the operationalization of One Health principles in local governance contexts.

Indexed as

Global HealthOne HealthAnimalsCitiesHumansJapanFukuoka PrefectureGlobal One Health IndexHealth systems evaluationJapanMunicipal health assessmentOne Health

Identifiers

PMID41225638
PMCPMC12613462

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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.