Di Yin1, Hongbiao Chen2, Zhaomin Deng1, Yue Yuan1, Musha Chen1, He Cao2, Xiaofeng Zhou2, Jingwei Luo2, Wei Zhang2, Zihao Gu2, Ziyu Wen1, Caijun Sun1,3. 1. School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China. 2. Department of Epidemiology and Infectious Disease Control, Longhua Key Discipline of Public Health for the Prevention and Control of Infectious Diseases, Longhua Centre for Disease Control and Prevention, Shenzhen, China. 3. Ministry of Education, Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Guangzhou, 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.
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.
Authors: E Kaliner; J Moran-Gilad; I Grotto; E Somekh; E Kopel; M Gdalevich; E Shimron; Y Amikam; A Leventhal; B Lev; R Gamzu Journal: Euro Surveill Date: 2014-02-20
Authors: Kimberly A Fisher; Sarah J Bloomstone; Jeremy Walder; Sybil Crawford; Hassan Fouayzi; Kathleen M Mazor Journal: Ann Intern Med Date: 2020-09-04 Impact factor: 25.391
Authors: Ameerah M N Qattan; Noor Alshareef; Omar Alsharqi; Naseem Al Rahahleh; Gowokani Chijere Chirwa; Mohammed Khaled Al-Hanawi Journal: Front Med (Lausanne) Date: 2021-03-01
Authors: Kailu Wang; Eliza Lai Yi Wong; Kin Fai Ho; Annie Wai Ling Cheung; Emily Ying Yang Chan; Eng Kiong Yeoh; Samuel Yeung Shan Wong Journal: Vaccine Date: 2020-09-10 Impact factor: 3.641