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Factors That Impact Acceptance of COVID-19 Vaccination in Different Community-Dwelling Populations in China
(1) Background: It is important to improve vaccination strategies and immunization programs to achieve herd immunity to infectious diseases. (2) Methods: To assess the acceptance of COVID-19 vaccination, we conducted face-to-face surveys and online surveys in Shanghai, Zhejiang, and Qinghai province...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779453/ https://www.ncbi.nlm.nih.gov/pubmed/35062753 http://dx.doi.org/10.3390/vaccines10010091 |
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author | Pan, Jinhua A, Kezhong Liu, Zhixi Zhang, Peng Xu, Zhiyin Guo, Xiaoqin Liu, Guangtao Xu, Ao Wang, Jing Wang, Xinyu Wang, Weibing |
author_facet | Pan, Jinhua A, Kezhong Liu, Zhixi Zhang, Peng Xu, Zhiyin Guo, Xiaoqin Liu, Guangtao Xu, Ao Wang, Jing Wang, Xinyu Wang, Weibing |
author_sort | Pan, Jinhua |
collection | PubMed |
description | (1) Background: It is important to improve vaccination strategies and immunization programs to achieve herd immunity to infectious diseases. (2) Methods: To assess the acceptance of COVID-19 vaccination, we conducted face-to-face surveys and online surveys in Shanghai, Zhejiang, and Qinghai provinces. A fixed-effect model and a random effects model were used to analyze factors associated with the acceptance of COVID-19 vaccination. (3) Findings: We initially recruited 3173 participants, 3172 participants completed the full questionnaire (the response rate was nearly 100%), of which 2169 were valid questionnaires, with an effective rate of 87.3%. The results indicated that 82.6% of participants were willing to receive vaccination when it was available in the community, and 57.2% of deliverymen, 43.3% of medical workers, 78.2% of parents of primary and secondary school children, and 72.2% of parents of preschool children were willing to receive vaccination. The models showed that participants who were male (female vs. male: OR = 1.49, 95% CI (1.12, 1.98)), 60 to 69 years-old (60–69 vs. <30: OR = 0.52, 95% CI (0.29, 0.92)), had less education (medium vs. low: OR = 1.50, 95% CI (1.05, 2.23)), had good health status (good vs. low: OR = 0.36, 95% CI (0.15, 0.88)), and had positive attitudes and trust (OR = 0.14, 95% CI (0.10, 0.20)) in vaccines approved by the National Health Commission were more likely to accept vaccination. Participants also had an increased vaccination acceptance if it was recommended by government sources, doctors, relatives, or friends. Most participants learned about COVID-19 vaccination from television, radio, and newspapers, followed by community or hospital campaigns and the internet. (4) Conclusions: Government sources and doctors could increase the acceptance of vaccination by promoting the efficacy and safety of COVID-19 vaccination by the use of mass media and emphasizing the necessity of vaccination for everyone. |
format | Online Article Text |
id | pubmed-8779453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87794532022-01-22 Factors That Impact Acceptance of COVID-19 Vaccination in Different Community-Dwelling Populations in China Pan, Jinhua A, Kezhong Liu, Zhixi Zhang, Peng Xu, Zhiyin Guo, Xiaoqin Liu, Guangtao Xu, Ao Wang, Jing Wang, Xinyu Wang, Weibing Vaccines (Basel) Article (1) Background: It is important to improve vaccination strategies and immunization programs to achieve herd immunity to infectious diseases. (2) Methods: To assess the acceptance of COVID-19 vaccination, we conducted face-to-face surveys and online surveys in Shanghai, Zhejiang, and Qinghai provinces. A fixed-effect model and a random effects model were used to analyze factors associated with the acceptance of COVID-19 vaccination. (3) Findings: We initially recruited 3173 participants, 3172 participants completed the full questionnaire (the response rate was nearly 100%), of which 2169 were valid questionnaires, with an effective rate of 87.3%. The results indicated that 82.6% of participants were willing to receive vaccination when it was available in the community, and 57.2% of deliverymen, 43.3% of medical workers, 78.2% of parents of primary and secondary school children, and 72.2% of parents of preschool children were willing to receive vaccination. The models showed that participants who were male (female vs. male: OR = 1.49, 95% CI (1.12, 1.98)), 60 to 69 years-old (60–69 vs. <30: OR = 0.52, 95% CI (0.29, 0.92)), had less education (medium vs. low: OR = 1.50, 95% CI (1.05, 2.23)), had good health status (good vs. low: OR = 0.36, 95% CI (0.15, 0.88)), and had positive attitudes and trust (OR = 0.14, 95% CI (0.10, 0.20)) in vaccines approved by the National Health Commission were more likely to accept vaccination. Participants also had an increased vaccination acceptance if it was recommended by government sources, doctors, relatives, or friends. Most participants learned about COVID-19 vaccination from television, radio, and newspapers, followed by community or hospital campaigns and the internet. (4) Conclusions: Government sources and doctors could increase the acceptance of vaccination by promoting the efficacy and safety of COVID-19 vaccination by the use of mass media and emphasizing the necessity of vaccination for everyone. MDPI 2022-01-08 /pmc/articles/PMC8779453/ /pubmed/35062753 http://dx.doi.org/10.3390/vaccines10010091 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pan, Jinhua A, Kezhong Liu, Zhixi Zhang, Peng Xu, Zhiyin Guo, Xiaoqin Liu, Guangtao Xu, Ao Wang, Jing Wang, Xinyu Wang, Weibing Factors That Impact Acceptance of COVID-19 Vaccination in Different Community-Dwelling Populations in China |
title | Factors That Impact Acceptance of COVID-19 Vaccination in Different Community-Dwelling Populations in China |
title_full | Factors That Impact Acceptance of COVID-19 Vaccination in Different Community-Dwelling Populations in China |
title_fullStr | Factors That Impact Acceptance of COVID-19 Vaccination in Different Community-Dwelling Populations in China |
title_full_unstemmed | Factors That Impact Acceptance of COVID-19 Vaccination in Different Community-Dwelling Populations in China |
title_short | Factors That Impact Acceptance of COVID-19 Vaccination in Different Community-Dwelling Populations in China |
title_sort | factors that impact acceptance of covid-19 vaccination in different community-dwelling populations in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779453/ https://www.ncbi.nlm.nih.gov/pubmed/35062753 http://dx.doi.org/10.3390/vaccines10010091 |
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