lancet-header

Preprints with The Lancet is a collaboration between The Lancet Group of journals and SSRN to facilitate the open sharing of preprints for early engagement, community comment, and collaboration. Preprints available here are not Lancet publications or necessarily under review with a Lancet journal. These preprints are early-stage research papers that have not been peer-reviewed. The usual SSRN checks and a Lancet-specific check for appropriateness and transparency have been applied. The findings should not be used for clinical or public health decision-making or presented without highlighting these facts. For more information, please see the FAQs.

Mapping Global Acceptance of COVID-19 Vaccination Updated to June 2021: A Systematic Review and Meta-Analysis

38 Pages Posted: 11 Oct 2021

See all articles by Qian Wang

Qian Wang

Fudan University - Key Laboratory of Health Technology Assessment

Simeng Hu

Fudan University - Key Laboratory of Health Technology Assessment

Fanxing Du

Fudan University - Key Laboratory of Health Technology Assessment

Shujie Zang

Fudan University - Key Laboratory of Health Technology Assessment

Yuting Xing

Fudan University - Key Laboratory of Health Technology Assessment

Zhiqiang Qu

Fudan University - Key Laboratory of Health Technology Assessment

Xu Zhang

Fudan University - School of Public Health

Leesa Lin

London School of Hygiene & Tropical Medicine - Department of Infectious Disease Epidemiology

Zhiyuan Hou

Fudan University - School of Public Health

More...

Abstract

Background: The COVID-19 vaccination acceptance is necessary for COVID-19 pandemic control. 

Methods: We searched four peer-reviewed databases and three preprint databases for papers published in English from December, 2019 to June, 2021. This review included original survey studies which investigated acceptance, willingness, intention, or uptake of COVID-19 vaccination, and study quality was assessed using the Appraisal tool for Cross-Sectional Studies. We estimated the global acceptance of COVID-19 vaccination, and comparisons across populations, countries, time trends, and subgroups based on sociodemographic characteristics.

Findings: A total of 9547 articles were identified, and 238 articles with 2,484,071 participants were eligible for inclusion in the review. In the 185 studies with high quality, the overall acceptance rate of COVID-19 vaccination was 64.1% (95% CI: 61.9-66.2). Patients with chronic diseases had the highest acceptance rate (69.3%, 58.8-79.8), general residents and healthcare workers had the acceptance rates at 64.4% (61.2-67.6) and 62.8% (58.1-67.5), whereas pregnant/breastfeeding women had the lowest rate (56.5%, 48.6-64.5). The acceptance rate for residents varied across countries, ranging from 19.9% (17.0-22.7) to 92.1% (90.9-93.3). The acceptance rate for residents declined globally between March and October, 2020, and then recovered from November 2020 to March 2021. Females, those aged <60 years old, black individuals, lower educated persons, and lower income persons had lower acceptance of COVID-19 vaccination than their counterparts.

Interpretation: COVID-19 vaccination acceptance varied across different populations and countries, and changed over time. Continuous vaccine acceptance monitoring is necessary to inform public health decision making.

Funding: National Natural Science Foundation of China

Declaration of Interest: The authors declare that they have no competing interests.

Keywords: Key words: COVID-19 vaccine, vaccination, acceptance, willingness, intention, uptake, systematic review

Suggested Citation

Wang, Qian and Hu, Simeng and Du, Fanxing and Zang, Shujie and Xing, Yuting and Qu, Zhiqiang and Zhang, Xu and Lin, Leesa and Hou, Zhiyuan, Mapping Global Acceptance of COVID-19 Vaccination Updated to June 2021: A Systematic Review and Meta-Analysis. Available at SSRN: https://ssrn.com/abstract=3940252 or http://dx.doi.org/10.2139/ssrn.3940252

Qian Wang

Fudan University - Key Laboratory of Health Technology Assessment ( email )

China

Simeng Hu

Fudan University - Key Laboratory of Health Technology Assessment ( email )

China

Fanxing Du

Fudan University - Key Laboratory of Health Technology Assessment ( email )

China

Shujie Zang

Fudan University - Key Laboratory of Health Technology Assessment

Beijing West District Baiyun Load 10th
Shanghai, 100045
China

Yuting Xing

Fudan University - Key Laboratory of Health Technology Assessment ( email )

China

Zhiqiang Qu

Fudan University - Key Laboratory of Health Technology Assessment ( email )

China

Xu Zhang

Fudan University - School of Public Health ( email )

Leesa Lin

London School of Hygiene & Tropical Medicine - Department of Infectious Disease Epidemiology ( email )

Zhiyuan Hou (Contact Author)

Fudan University - School of Public Health ( email )

Shanghai
China