Evidence map›Paper›PMID 35211440›Full record

ArticleFrontiers in public health2022

COVID-19 Vaccination Acceptance Among Chinese Population and Its Implications for the Pandemic: A National Cross-Sectional Study.

Jian Wu, Mingze Ma, Yudong Miao, Beizhu Ye, Quanman Li, Clifford Silver Tarimo, Meiyun Wang, Jianqin Gu, Wei Wei, Lipei Zhao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Jian WuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Mingze MaDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Yudong MiaoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Beizhu YeDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Quanman LiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Clifford Silver TarimoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Meiyun WangHenan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Jianqin GuSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Wei WeiHenan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Lipei ZhaoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Zihan MuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Xiaoli FuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CNDar es Salaam Institute of Technology · TZSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the COVID-19 vaccination rate among a representative sample of adults from 31 provinces on the Chinese mainland and identify its influencing factors. Methods: We gathered sociodemographic information, data on people's awareness and behavior regarding COVID-19 and the COVID-19 vaccine, the accessibility of COVID-19 vaccination services, community environmental factors influencing people's awareness and behavior regarding the vaccination, information about people's skepticism on COVID-19 vaccine, and information about people's trust in doctors as well as vaccine developers through an online nationwide cross-sectional survey among Chinese adults (18 years and older). The odds ratios (OR) and 95% confidence intervals (CI) for the statistical associations were estimated using logistic regression models. Results: A total of 29,925 participants (51.4% females and 48.6% males) responded. 89.4% of the participants had already received a COVID-19 vaccination. After adjusting for demographic characteristics, awareness of COVID-19 pandemic/ COVID-19 vaccine, community environmental factors, awareness and behavior of general vaccinations, we discovered that having no religious affiliation, having the same occupational status as a result of coronavirus epidemic, being a non-smoker, always engaging in physical activity, having a lower social status, perceiving COVID-19 to be easily curable, and having easier access to vaccination are all associated with high vaccination rate (all Conclusions: 31 provinces in mainland China currently have a relatively high rate of COVID-19 vaccination. To further increase the rate of COVID-19 vaccination, we must remove barriers associated with the community context and improve access to COVID-19 vaccine services. In addition, taking proactive and effective measures to address the reasons for non-vaccination with COVID-19 will aid in epidemic prevention and control.

Indexed as

COVID-19COVID-19 VaccinesAdultChinaCross-Sectional StudiesFemaleHumansMalePandemicsSARS-CoV-2VaccinationCOVID-19 VaccinesChinaCOVID-19COVID-19 vaccination rateCOVID-19 vaccinevaccination

Identifiers

PMID35211440
PMCPMC8860971
OpenAlexW4210845203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.