Evidence map›Paper›PMID 42170016›Full record

ArticleChina CDC weekly2026

The Current Status of Simultaneous Vaccination of Children Aged 0-3 Years - China, 2022-2024.

Xin Liu, Yuan Liang, Zhaonan Zhang, Sha Zhang, Jiakai Ye, Ruyue Hu, Lei Cao, Huixin Peng, Li Li, Yifan Song and 1 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. 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

11 authors.

Xin LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Yuan LiangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Zhaonan ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Sha ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Jiakai YeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Ruyue HuSichuan Provincial Center for Disease Control and Prevention, Chengdu City, Sichuan Province, China.
Lei CaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Huixin PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Li LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Yifan SongNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Wenzhou YuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, 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?: Simultaneous vaccination improves coverage and reduces clinic visits. In China, administering multiple vaccines during a single visit is widely practiced; studies have evaluated the safety and immunogenicity of specific vaccine combinations. However, systematic nationwide analyses remain limited. What is added by this report?: During 2022-2024, 46.27% of vaccinations involved two vaccines administered simultaneously, 2.36% involved three, and 0.003% involved four or more. Most two-vaccine combinations included only National Immunization Program (NIP) vaccines, while combinations of three or more often included both NIP and non-NIP vaccines. What are the implications for public health practice?: Real-world vaccination patterns provide evidence to inform research on multi-vaccine administration and combined vaccine development, supporting improvements in immunization service efficiency.

Indexed as

ChildrenCross-sectional studySimultaneous administrationVaccines

Identifiers

PMID42170016
PMCPMC13187647

What OpenQuestion holds

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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.