Evidence map›Paper›PMID 41280731›Full record

ReviewScience in One Health2025

Advancing One Health implementation and technological innovation in China: a technology assessment approach.

Yue Suo, Kemiao Zhang, Jiaxin Zhao, Jingfei Lyu, Chi Zhang, Zeyu Tan, Gongming Zhao, Yingyao Chen

Abstract readReview
In one paragraph

Review in Science in One Health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Population genetic structure of zoonoticScience in One Health · 2026
    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

8 authors.

Yue SuoSchool of Public Health, Fudan University, Shanghai 200032, China.
Kemiao ZhangSchool of Public Health, Fudan University, Shanghai 200032, China.
Jiaxin ZhaoSchool of Public Health, Fudan University, Shanghai 200032, China.
Jingfei LyuSchool of Public Health, Fudan University, Shanghai 200032, China.
Chi ZhangSchool of Public Health, Fudan University, Shanghai 200032, China.
Zeyu TanSchool of Public Health, Fudan University, Shanghai 200032, China.
Gongming ZhaoSchool of Public Health, Fudan University, Shanghai 200032, China.
Yingyao ChenSchool of Public Health, Fudan University, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One Health approaches integrating human, animal, and environmental health are critical for addressing complex public health challenges, yet effective implementation requires robust technological innovation and cross-sectoral collaboration. This paper delves into the implementation and technological innovation of One Health in China, highlighting its significance from a technology assessment perspective. China has made marked progress in applying One Health technologies across domains including emerging infectious disease management, food safety, and antimicrobial resistance control. However, hinderance remains in developing an integrated system for wider technology dissemination. We focus on four main categories of One Health technologies (molecular technologies, geospatial technologies, risk monitoring and surveillance, and artificial intelligence and big data) to offer insights into their benefits, drawbacks, factors for successful implementation, scaling and governance strategies that both facilitate and hinder technology integration. Despite China's accomplishments, challenges remain in cross-sectoral integration, data sharing, and governance. Hence, we propose policy enhancement on the adoption and scaling of One Health technologies in China, aiming to bridge gaps in data integration and collaboration and strengthen governance frameworks.

Indexed as

ChinaCross-sectoral collaborationInfectious disease surveillanceOne HealthTechnology assessment

Identifiers

PMID41280731
PMCPMC12637065

What OpenQuestion 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 OpenQuestion graph.