Evidence map›Paper›PMID 41498121›Full record

ReviewScience in One Health2025

Integrated health surveillance and early warning systems in China under the One Health perspective: progress and challenges.

Zhichao Li, Dongliang Li, Jinwei Dong, Qixu Zhu, Youyi Zuo, Juan Pu, Lu Wang, Weipan Lei, Jun Cai, Qu Cheng and 4 more

Abstract readReview
PubMed Full text at PMC Publisher
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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

14 authors.

Zhichao LiKey Laboratory for Resource Use and Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Dongliang LiNational Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Jinwei DongKey Laboratory for Resource Use and Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Qixu ZhuKey Laboratory for Resource Use and Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Youyi ZuoKey Laboratory for Resource Use and Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Juan PuNational Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Lu WangNational Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Weipan LeiKey Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, China.
Jun CaiSchool of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China.
Qu ChengDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
Yuzhe LiKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Jing YangCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Yang JuSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, Jiangsu, China.
Zhirui WuGlobal Health Research Center, Duke Kunshan University, Kunshan 215316, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging infectious diseases (EIDs), whether newly identified or re-emerging in human and animal populations, pose significant threats to global public health. China has experienced multiple EIDs outbreaks in recent years, underscoring the need for robust surveillance and early warning systems. Although China has established surveillance systems for events affecting climate, wildlife, livestock and poultry, and humans, the current systems remain inadequate for the early detection, monitoring, and prevention of zoonotic spillover events. The "One Health" approach, which integrates human, animal, and environmental health, offers a comprehensive strategy for mitigating EIDs risks. This study reviews China's national-level surveillance and early warning systems from a "One Health" perspective, highlighting key limitations and proposing future directions to enhance preparedness and response capabilities. The findings are intended to inform policy improvements and strengthen interdisciplinary collaboration for effective EIDs management.

Indexed as

Climate surveillanceHuman health surveillanceOne HealthSurveillance systemWildlife surveillance

Identifiers

PMID41498121
PMCPMC12766100

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.