Evidence map›Paper›PMID 39920639›Full record

ArticleBMC public health2025

Uptake and hesitancy of the second booster dose of COVID-19 vaccine among the general population in China after the surge period of the COVID-19 pandemic: a large-scale national study.

Xin Liu, You Xin, Ling Zhang, Yijin Wu, Shu Jing, Zhenwei Dai, Tianrui Ren, Xiaoyang Liu, Jiaqi Fu, Xu Chen and 15 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

25 authors.

Xin Liu *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
You Xin *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Ling ZhangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yijin WuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Shu JingSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhenwei DaiPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
Tianrui RenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaoyang LiuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jiaqi FuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xu ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Weijun XiaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Hao WangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yiman HuangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wenjun WangSchool of Nursing, Jining Medical University, Jining, China.
Xiaofen GuAffiliated Tumor Hospital, Xinjiang Medical University, Urumqi, China.
Li MaPublic Health School, Dalian Medical University, Dalian, China.
Shaokai ZhangHenan Cancer Hospital, Affiliate Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Yanqin YuThe First Affiliated Hospital of Baotou Medical College, Baotou, China.
Li LiDepartment of Clinical Research, the First Affiliated Hospital of Jinan University, Guangzhou, China.
Tianzuo GaoUniversity of Rochester, Rochester, USA.
Tianyou ZhaoTrinity College, Hartford, USA.
Yimin QuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xinyan LiuGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China. liuxinyanno1@hotmail.com.
Xiaoyou SuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. suxiaoyou@pumc.edu.cn.
Youlin QiaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

Chinese Academy of Medical Sciences 2020-I2M-2-015
6 · The paper itself

Abstract

backgroundAlthough the second booster dose of COVID-19 vaccines is available, vaccine hesitancy among the public may have peaked due to the surge in infections caused by the Omicron variant. To improve coverage of the second booster dose, it is crucial to investigate the prevalence of vaccine hesitancy among the general population during this period and explore the reasons for this phenomenon.

methodsA cross-sectional survey was conducted between January 5 to February 9, 2023. Variables including sociodemographics, mental health, COVID-19 infection status, COVID-19 vaccination status, and vaccine hesitancy were collected. Univariate and multivariate logistic regression analysis were performed to identify factors associated with the hesitancy of the second booster dose of COVID-19 vaccine among the general population.

resultsAmong the 10,623 participants, the uptake rate of the second booster dose was 4.3%. Among those who did not receive the second booster dose, 43.6% expressed vaccine hesitancy. The highest hesitancy rate was observed among participants who had not completed primary immunization (71.4%), followed by those with chronic diseases (48.6%) and those aged 60 and above (33.2%). The COVID-19 vaccine hesitancy was higher among females, participants with high incomes, those with a history of COVID-19 infection, those with depressive symptoms and post-traumatic stress disorder, and those with adverse events after COVID-19 vaccination. Conversely, lower hesitancy was observed among students, participants aged 60 and above, those from southern China, and those with higher level of perceived social support.

conclusionsCOVID-19 vaccine hesitancy remains prevalent among the general population in China after the surge period of the pandemic. Crucial steps, such as raising public awareness of the benefits and potential side effects of regular COVID-19 vaccination, ensuring timely monitoring and disclosure of pandemic information, and implementing targeted measures to improve social support and mental health, should be taken. These efforts will be instrumental in reducing vaccine hesitancy, advancing vaccination campaigns, and effectively preparing for the potential future outbreaks.

Indexed as

COVID-19COVID-19 VaccinesImmunization, SecondaryVaccination HesitancyAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsSurveys and QuestionnairesYoung AdultCOVID-19 VaccinesCOVID-19General populationSecond booster doseVaccine hesitancy

Identifiers

PMID39920639
PMCPMC11803999

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.