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

Hum Vaccin Immunother. 2021 Dec 2;17(12):5069-5075. doi: 10.1080/21645515.2021.1989912. Epub 2021 Oct 29.

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; attitude; industrial workers; vaccine; willingness.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • COVID-19 Vaccines*
  • COVID-19* / prevention & control
  • China / epidemiology
  • Cross-Sectional Studies
  • Humans
  • Male
  • Mass Vaccination
  • Middle Aged
  • Pandemics
  • SARS-CoV-2
  • Vaccination

Substances

  • COVID-19 Vaccines

Grants and 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].