Evidence map›Paper›PMID 42473641›Full record

ArticleScience in One Health2026

Bridging policy and practice: implementation of emerging infectious disease risk assessment in China from a One Health perspective.

Tianyun Li, Ne Qiang, Lijun Jia, Zelin Zhu, Xinyu Feng, Xiaoxi Zhang, Jinjun Ran, Lefei Han

Abstract read
In one paragraph

Article in Science in One Health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Tianyun LiSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Ne QiangNational Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai 200025, China.
Lijun JiaSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Zelin ZhuNational Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai 200025, China.
Xinyu FengSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Xiaoxi ZhangSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Jinjun RanSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Lefei HanSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Risk assessment of emerging infectious diseases (EIDs) enables the early identification of potential threats and informs timely public health responses. A One Health perspective may enhance its comprehensiveness by integrating human, animal, and environmental factors. However, current understanding of the policy implementation of EID risk assessment in China remains limited. This study examines the implementation of related policies in China to identify gaps between policy design and practice from a One Health perspective. Methods: Semi-structured interviews were performed in Hainan Province and Jiangxi Province during March and June in 2024. Purposive sampling was used to recruit stakeholders from human, animal, environment, and other administrative sectors. All interviews were conducted in Chinese with each lasting 40-60 min. Grounded theory methodology was used to guide thematic analysis. Open coding and axial coding were conducted to allow themes and subthemes from the data. Results: A total of 54 experts from human (25.9%), animal (24.1%), environment (22.2%) and other (27.8%) sectors participated in the interview. Overall, China advanced risk assessment of EIDs across multiple dimensions, including governance system, cross-sectoral coordination, technology, workforce capacity, and financial investment. The results revealed barriers in implementing of risk assessment, including: (1) minimal surveillance of unknown diseases, (2) minimal surveillance of aquatic and wild animals, (3) insufficient staffing size and weak professional competence, and (4) inadequate cross-sectoral collaboration. It is recommended to improve legal provisions concerning sector responsibilities, develop a minimum data set to facilitate cross-sectoral collaboration, enhance work force capacity through training, and strengthen scientific research cooperation between academic communities and sectors. Conclusion: Persistent gaps in the local implementation of policies on EID risk assessment in China were identified. The findings highlighted the need to strengthen risk surveillance and facilitate data sharing across multiple sectors from One Health perspective, which may contribute to China's capacities to cope with EIDs.

Indexed as

ChinaEmerging infectious diseaseOne HealthRisk assessmentThematic analysis

Identifiers

PMID42473641
PMCPMC13380765

What Socratic 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 Socratic graph.