Factors associated with COVID-19 vaccination acceptance among industrial workers in the post-vaccination era: a large-scale cross-sectional survey in China

ABSTRACT

Background

COVID-19 pandemic continues to pose a huge threat to public health. Mass vaccination is needed to achieve herd immunity against SARS-CoV-2. Currently, several vaccines are being inoculated on a large-scale. The willingness of COVID-19 vaccination had been well investigated in the pre-vaccination era, but no reported data in the post-vaccination era yet.

Methods

We conducted a large-scale survey among industrial workers during the vaccination campaign in China. Chi-square test and rank sum test were used to identify differences for various intentions regarding COVID-19 vaccination. Univariate analysis and multivariate regression models were utilized to analyze the relationship among demographic factors, related influencing factors and acceptance of COVID-19 vaccination.

Results

A total of 23,940 industrial workers were included, 66.0% were willing to take COVID-19 vaccine, 16.6% were unwilling, and 17.4% were unsure. Participants were more likely to get vaccinated if they were male, aged 45–65, being good educated, married, or being recommended by doctors or nurses. Participants with strong risk perception of COVID-19 infection, strong confidence in COVID-19 vaccine, high attention to COVID-19 vaccine, good health status, bad health habit, and a history of vaccination within three months were also more likely to be vaccinated.

Conclusions

This study calls for more attention and health-related education among industrial workers to improve their acceptance of COVID-19 vaccination.

KEYWORDS:

• COVID-19
• vaccine
• industrial workers
• willingness
• attitude

Supplemental Material

Supplemental data for this article can be accessed on the publisher’s website at https://doi.org/10.1080/21645515.2021.1989912

Acknowledgments

CJS and HBC conceived and designed this project; DY, ZMD, YY, MSC performed this project and analyzed the data; HC, XFZ, LJW, ZW, ZHG, ZYW contributed the resources and discussion; DY, ZMD, and CJS drafted the manuscript, and all authors reviewed the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number: 81971927]; and Science and Technology Planning Project of Shenzhen City [grant number: 20190804095916056, JSGG20200225152008136].