Evidence map›Paper›PMID 42273612›Full record

ArticleChina CDC weekly2026

A Cross-Sectional Survey of Infection Prevention and Control in Funeral Facilities - 19 PLADs, China, 2024.

Yaling Qin, Hao Wu, Qi Zhang, Yan Li, Hongyang Duan, Xuemei Zhou, Huiqun Fu, Jin Shen

Abstract read
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. 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.

Yaling Qin *Big Data Engineering Center and Medical Records Management Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.
Hao Wu *China CDC Key Laboratory of Environment and Population Health, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Qi ZhangChina CDC Key Laboratory of Environment and Population Health, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Yan LiChina CDC Key Laboratory of Environment and Population Health, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Hongyang DuanChina CDC Key Laboratory of Environment and Population Health, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Xuemei Zhou101 Institute of the Ministry of Civil Affairs, Beijing, China.
Huiqun Fu101 Institute of the Ministry of Civil Affairs, Beijing, China.
Jin ShenChina CDC Key Laboratory of Environment and Population Health, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, 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

What is already known about this topic?: The inadequate implementation of infection prevention and control (IPC) measures in funeral facilities may facilitate the spread of infectious diseases. What is added by this report?: This report provides the systematic multilevel assessment of IPC in Chinese funeral facilities [19 provincial-level divisions (PLADs), 83 facilities, 665 staff]. What are the implications for public health practice?: Public health initiatives should focus on mandating standardized IPC policies in funeral facilities to substantially strengthen infection control practices.

Indexed as

funeral facilityinfection prevention and controlPublic health

Identifiers

PMID42273612
PMCPMC13247726

What OpenQuestion holds

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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.