Evidence map›Paper›PMID 41958838›Full record

ArticleChina CDC weekly2026

Comprehensive Analysis of Mpox Prevention and Control Policies in China: a Three-Dimensional Framework for Policy Tool Evaluation.

Jiayi Zhang, Chao Li, Ruiqi Ren, Wenqing Bai, Dan Li, Qi Wang, Xu Huang, Huimin Li, Yao Liu, Rui Sun and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2026. 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. 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

13 authors.

Jiayi ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Chao LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Ruiqi RenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Wenqing BaiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Dan LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Qi WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Xu HuangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Huimin LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Yao LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Rui SunNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Fei WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Guoqing ShiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Lei ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2023, the emergence of the mpox virus (MPXV) subclade Ⅰb in the Democratic Republic of the Congo triggered a new wave of mpox outbreaks that subsequently spread to other African countries and beyond. Policies provide the framework for mpox epidemic prevention and control in China, requiring systematic analysis of policy evolution and content characteristics. This study employs policy tool theory to construct a three-dimensional analytical framework encompassing policy instruments (X), policy objects (Y), and policy measures (Z), and utilizes content analysis methodology to evaluate China's national regulatory mpox prevention and control policies. The results demonstrate that China's national-level mpox prevention and control policies are in substantial agreement with the World Health Organization (WHO) core recommendations, with distinct emphases on the application of policy instruments, policy objects and policy measures, the prioritization of comprehensive epidemic response capabilities, and aligning with both domestic and international mpox epidemic conditions and national prevention strategies. Moving forward, China should further enhance its mpox prevention and control system resilience by optimizing vaccine strategies and expanding social mobilization initiatives.

Indexed as

Content analysisMpox prevention and controlPolicyPolicy tools

Identifiers

PMID41958838
PMCPMC13056557

What OpenQuestion holds

Textmetadata
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.