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Changes in COVID-19 vaccine hesitancy at different times among residents in Guangzhou, China

BACKGROUND: Vaccination as a fundamental pillar of promoting public health and interest is critical to limiting the COVID-19 pandemic. However, many citizens are still hesitant about this epidemic prevention measure. This article aimed to understand the COVID-19 vaccination and hesitancy rates among...

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Autores principales: Chen, Lu, Li, Zhi, Lu, Xiaoxiao, Deng, Yibin, Lu, Katie, Li, Tiegang, Lu, Ling, Wang, Zhiwei, Lu, Jiachun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294687/
https://www.ncbi.nlm.nih.gov/pubmed/37383261
http://dx.doi.org/10.3389/fpubh.2023.1164475
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author Chen, Lu
Li, Zhi
Lu, Xiaoxiao
Deng, Yibin
Lu, Katie
Li, Tiegang
Lu, Ling
Wang, Zhiwei
Lu, Jiachun
author_facet Chen, Lu
Li, Zhi
Lu, Xiaoxiao
Deng, Yibin
Lu, Katie
Li, Tiegang
Lu, Ling
Wang, Zhiwei
Lu, Jiachun
author_sort Chen, Lu
collection PubMed
description BACKGROUND: Vaccination as a fundamental pillar of promoting public health and interest is critical to limiting the COVID-19 pandemic. However, many citizens are still hesitant about this epidemic prevention measure. This article aimed to understand the COVID-19 vaccination and hesitancy rates among Guangzhou residents at different points in time as well as to explore the relevant factors that cause vaccination hesitancy. METHODS: We conducted a total of nine cross-sectional surveys by enrolling 12,977 questionnaires among Guangzhou residents through the online survey software called “WenJuanXing” between April 2021 and December 2022, and residents made their choices by judging their willingness to vaccinate. These surveys collected data on the participants' sociodemographic characteristics, vaccination status, vaccine hesitancy, and factors influencing this hesitancy. The Chi-squared test was used for univariate analysis and the multivariate logistic regression model was used to further adjust the influence of the confounding factors to evaluate the main factors affecting the hesitancy of the COVID-19 vaccine at different periods. RESULTS: Over the course of 2021–2022, a total of 12,977 residents in the study area were surveyed. The vaccine hesitancy rates fluctuated over time. From April to June 2021, the vaccine hesitancy rate decreased from 30% to 9.1% and then increased to 13.7% in November. However, from April to December 2022, the hesitancy rate continued to rise from 13.4% to 30.4%. Vaccination rates, the epidemic waves of COVID-19, and changes in policies may all be possible factors that contributed to these fluctuations in vaccine hesitancy rates. We found statistically significant correlations between factors, such as residence, education, and occupation, and vaccine hesitancy at certain points of time. The results of the surveys in April and June 2021 showed that rural residents showed higher vaccine hesitancy rate than urban residents. Their lower education level was associated with higher vaccine hesitancy. Workers and farmers are more likely to have vaccine hesitancy than people with other occupations. The univariate analysis showed that people with underlying medical conditions and lower perceived health status were more likely to experience vaccine hesitation. Logistic regression analysis revealed that the health status of individuals is the most important factor leading to vaccine hesitancy, and residents' underestimation of domestic risks and overconfidence in personal protection measures were also contributing factors. At different stages, vaccine hesitancy among residents was related to vaccine side effects, safety and efficacy, convenience fluctuation, and various factors. CONCLUSION: In the present study, we found that vaccine hesitancy did not display a consistent downward trend but it fluctuated over time. Higher education, residing in urban areas, lower perceived disease risk, and concerns about the vaccine's safety and side effects were risk factors for vaccine hesitancy. Implementing appropriate interventions and educational programs tailored to address these risk factors may prove to be effective in enhancing public confidence on vaccination.
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spelling pubmed-102946872023-06-28 Changes in COVID-19 vaccine hesitancy at different times among residents in Guangzhou, China Chen, Lu Li, Zhi Lu, Xiaoxiao Deng, Yibin Lu, Katie Li, Tiegang Lu, Ling Wang, Zhiwei Lu, Jiachun Front Public Health Public Health BACKGROUND: Vaccination as a fundamental pillar of promoting public health and interest is critical to limiting the COVID-19 pandemic. However, many citizens are still hesitant about this epidemic prevention measure. This article aimed to understand the COVID-19 vaccination and hesitancy rates among Guangzhou residents at different points in time as well as to explore the relevant factors that cause vaccination hesitancy. METHODS: We conducted a total of nine cross-sectional surveys by enrolling 12,977 questionnaires among Guangzhou residents through the online survey software called “WenJuanXing” between April 2021 and December 2022, and residents made their choices by judging their willingness to vaccinate. These surveys collected data on the participants' sociodemographic characteristics, vaccination status, vaccine hesitancy, and factors influencing this hesitancy. The Chi-squared test was used for univariate analysis and the multivariate logistic regression model was used to further adjust the influence of the confounding factors to evaluate the main factors affecting the hesitancy of the COVID-19 vaccine at different periods. RESULTS: Over the course of 2021–2022, a total of 12,977 residents in the study area were surveyed. The vaccine hesitancy rates fluctuated over time. From April to June 2021, the vaccine hesitancy rate decreased from 30% to 9.1% and then increased to 13.7% in November. However, from April to December 2022, the hesitancy rate continued to rise from 13.4% to 30.4%. Vaccination rates, the epidemic waves of COVID-19, and changes in policies may all be possible factors that contributed to these fluctuations in vaccine hesitancy rates. We found statistically significant correlations between factors, such as residence, education, and occupation, and vaccine hesitancy at certain points of time. The results of the surveys in April and June 2021 showed that rural residents showed higher vaccine hesitancy rate than urban residents. Their lower education level was associated with higher vaccine hesitancy. Workers and farmers are more likely to have vaccine hesitancy than people with other occupations. The univariate analysis showed that people with underlying medical conditions and lower perceived health status were more likely to experience vaccine hesitation. Logistic regression analysis revealed that the health status of individuals is the most important factor leading to vaccine hesitancy, and residents' underestimation of domestic risks and overconfidence in personal protection measures were also contributing factors. At different stages, vaccine hesitancy among residents was related to vaccine side effects, safety and efficacy, convenience fluctuation, and various factors. CONCLUSION: In the present study, we found that vaccine hesitancy did not display a consistent downward trend but it fluctuated over time. Higher education, residing in urban areas, lower perceived disease risk, and concerns about the vaccine's safety and side effects were risk factors for vaccine hesitancy. Implementing appropriate interventions and educational programs tailored to address these risk factors may prove to be effective in enhancing public confidence on vaccination. Frontiers Media S.A. 2023-06-13 /pmc/articles/PMC10294687/ /pubmed/37383261 http://dx.doi.org/10.3389/fpubh.2023.1164475 Text en Copyright © 2023 Chen, Li, Lu, Deng, Lu, Li, Lu, Wang and Lu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Chen, Lu
Li, Zhi
Lu, Xiaoxiao
Deng, Yibin
Lu, Katie
Li, Tiegang
Lu, Ling
Wang, Zhiwei
Lu, Jiachun
Changes in COVID-19 vaccine hesitancy at different times among residents in Guangzhou, China
title Changes in COVID-19 vaccine hesitancy at different times among residents in Guangzhou, China
title_full Changes in COVID-19 vaccine hesitancy at different times among residents in Guangzhou, China
title_fullStr Changes in COVID-19 vaccine hesitancy at different times among residents in Guangzhou, China
title_full_unstemmed Changes in COVID-19 vaccine hesitancy at different times among residents in Guangzhou, China
title_short Changes in COVID-19 vaccine hesitancy at different times among residents in Guangzhou, China
title_sort changes in covid-19 vaccine hesitancy at different times among residents in guangzhou, china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294687/
https://www.ncbi.nlm.nih.gov/pubmed/37383261
http://dx.doi.org/10.3389/fpubh.2023.1164475
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