Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Dec 5, 2022
Date Accepted: Jun 16, 2023

The final, peer-reviewed published version of this preprint can be found here:

Dynamic Trends and Underlying Factors of COVID-19 Vaccine Booster Hesitancy in Adults: Cross-Sectional Observational Study

Wu J, Ma M, Guo X, Jia S, Zhou X, Wang M, Gu J, Miao Y, Ye B

Dynamic Trends and Underlying Factors of COVID-19 Vaccine Booster Hesitancy in Adults: Cross-Sectional Observational Study

JMIR Public Health Surveill 2023;9:e44822

DOI: 10.2196/44822

PMID: 37526963

PMCID: 10395646

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Dynamic trends and underlying factors of COVID-19 vaccine booster hesitancy in adults: based on a multi-center observational study

  • Jian Wu; 
  • Mingze Ma; 
  • Xinghong Guo; 
  • Shiyu Jia; 
  • Xue Zhou; 
  • Meiyun Wang; 
  • Jianqin Gu; 
  • Yudong Miao; 
  • Beizhu Ye

ABSTRACT

Background:

COVID-19 vaccine hesitancy affects vaccination rates, which is not conducive to consolidating herd immunity to stop the spread of COVID-19 and its variants. Most studies have only highlighted the factors influencing COVID-19 vaccine hesitancy, but have not explored its dynamics in depth, which is not conducive to making judgments about future changes in trends.

Objective:

To examine the current COVID-19 vaccine hesitancy rate in booster vaccination of Chinese adults and analyze the dynamics of vaccine hesitancy and its influencing factors.

Methods:

We designed questionnaires and used a stratified random sampling method to access information through our online platform from 2,556 households in four geographical regions of China. The odds ratios (OR) and 95% confidence intervals (CI) for the statistical associations were estimated using logistic regression models.

Results:

Overall, 6,659 participants (53.2% females and 46.8% males) responded. Overall, 533 (8.0%, 95% CI, 7.4%-8.7%) participants endorsed clear vaccine hesitancy response in booster vaccination. Furthermore, 736 (11.1%, 95% CI, 10.3%-11.8%) expressed hesitancy in regular booster vaccination. A higher prevalence of vaccine hesitancy in both booster vaccination and regular booster vaccination was observed among participants with higher educational levels, lower self-report health conditions, suffered from chronic disease, history of allergies, and former drinkers. Similar results were found among participants with lower levels of physical activity, lower levels of public health prevention measures/benefits/self-efficiency, higher levels of severity/barriers, and lower trust in medical staff and developers. The females and participants with higher education levels, higher levels of barriers, and lower trust in developers preferred to have attitudinal changes from acceptance to hesitancy (ATH). While, higher education levels, suffering from chronic disease, history of allergies, and lower trust in medical staff and developers were all positively associated with constant COVID-19 booster hesitancy.

Conclusions:

The prevalence of COVID-19 vaccine booster hesitancy is not high in mainland China. However, there is a slight increment in hesitancy on regular booster vaccination. Conducting targeted education for people with higher education levels and chronic diseases, as well as improving accessibility to booster vaccination and increasing trust in medical staff and vaccine producers, will be highly effective in reducing vaccine hesitancy.


 Citation

Please cite as:

Wu J, Ma M, Guo X, Jia S, Zhou X, Wang M, Gu J, Miao Y, Ye B

Dynamic Trends and Underlying Factors of COVID-19 Vaccine Booster Hesitancy in Adults: Cross-Sectional Observational Study

JMIR Public Health Surveill 2023;9:e44822

DOI: 10.2196/44822

PMID: 37526963

PMCID: 10395646

Per the author's request the PDF is not available.