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Unfolding the Determinants of COVID-19 Vaccine Acceptance in China
BACKGROUND: China is at the forefront of global efforts to develop COVID-19 vaccines and has five fast-tracked candidates at the final-stage, large-scale human clinical trials testing phase. Vaccine-promoting policymaking for public engagement is a prerequisite for social mobilization. However, maki...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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JMIR Publications
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813210/ https://www.ncbi.nlm.nih.gov/pubmed/33400682 http://dx.doi.org/10.2196/26089 |
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author | Yin, Fulian Wu, Zhaoliang Xia, Xinyu Ji, Meiqi Wang, Yanyan Hu, Zhiwen |
author_facet | Yin, Fulian Wu, Zhaoliang Xia, Xinyu Ji, Meiqi Wang, Yanyan Hu, Zhiwen |
author_sort | Yin, Fulian |
collection | PubMed |
description | BACKGROUND: China is at the forefront of global efforts to develop COVID-19 vaccines and has five fast-tracked candidates at the final-stage, large-scale human clinical trials testing phase. Vaccine-promoting policymaking for public engagement is a prerequisite for social mobilization. However, making an informed and judicious choice is a dilemma for the Chinese government in the vaccine promotion context. OBJECTIVE: In this study, public opinions in China were analyzed via dialogues on Chinese social media, based on which Chinese netizens’ views on COVID-19 vaccines and vaccination were investigated. We also aimed to develop strategies for promoting vaccination programs in China based on an in-depth understanding of the challenges in risk communication and social mobilization. METHODS: We proposed a novel behavioral dynamics model, SRS/I (susceptible-reading-susceptible/immune), to analyze opinion transmission paradigms on Chinese social media. Coupled with a meta-analysis and natural language processing techniques, the emotion polarity of individual opinions was examined in their given context. RESULTS: We collected more than 1.75 million Weibo messages about COVID-19 vaccines from January to October 2020. According to the public opinion reproduction ratio (R(0)), the dynamic propagation of those messages can be classified into three periods: the ferment period (R(01)=1.1360), the revolution period (R(02)=2.8278), and the transmission period (R(03)=3.0729). Topics on COVID-19 vaccine acceptance in China include price and side effects. From September to October, Weibo users claimed that the vaccine was overpriced, making up 18.3% (n=899) of messages; 38.1% (n=81,909) of relevant topics on Weibo received likes. On the contrary, the number of messages that considered the vaccine to be reasonably priced was twice as high but received fewer likes, accounting for 25.0% (n=53,693). In addition, we obtained 441 (47.7%) positive and 295 (31.9%) negative Weibo messages about side effects. Interestingly, inactivated vaccines instigated more heated discussions than any other vaccine type. The discussions, forwards, comments, and likes associated with topics related to inactivated vaccines accounted for 53% (n=588), 42% (n=3072), 56% (n=3671), and 49% (n=17,940), respectively, of the total activity associated with the five types of vaccines in China. CONCLUSIONS: Most Chinese netizens believe that the vaccine is less expensive than previously thought, while some claim they cannot afford it for their entire family. The findings demonstrate that Chinese individuals are inclined to be positive about side effects over time and are proud of China’s involvement with vaccine development. Nevertheless, they have a collective misunderstanding about inactivated vaccines, insisting that inactivated vaccines are safer than other vaccines. Reflecting on netizens’ collective responses, the unfolding determinants of COVID-19 vaccine acceptance provide illuminating benchmarks for vaccine-promoting policies. |
format | Online Article Text |
id | pubmed-7813210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-78132102021-01-22 Unfolding the Determinants of COVID-19 Vaccine Acceptance in China Yin, Fulian Wu, Zhaoliang Xia, Xinyu Ji, Meiqi Wang, Yanyan Hu, Zhiwen J Med Internet Res Original Paper BACKGROUND: China is at the forefront of global efforts to develop COVID-19 vaccines and has five fast-tracked candidates at the final-stage, large-scale human clinical trials testing phase. Vaccine-promoting policymaking for public engagement is a prerequisite for social mobilization. However, making an informed and judicious choice is a dilemma for the Chinese government in the vaccine promotion context. OBJECTIVE: In this study, public opinions in China were analyzed via dialogues on Chinese social media, based on which Chinese netizens’ views on COVID-19 vaccines and vaccination were investigated. We also aimed to develop strategies for promoting vaccination programs in China based on an in-depth understanding of the challenges in risk communication and social mobilization. METHODS: We proposed a novel behavioral dynamics model, SRS/I (susceptible-reading-susceptible/immune), to analyze opinion transmission paradigms on Chinese social media. Coupled with a meta-analysis and natural language processing techniques, the emotion polarity of individual opinions was examined in their given context. RESULTS: We collected more than 1.75 million Weibo messages about COVID-19 vaccines from January to October 2020. According to the public opinion reproduction ratio (R(0)), the dynamic propagation of those messages can be classified into three periods: the ferment period (R(01)=1.1360), the revolution period (R(02)=2.8278), and the transmission period (R(03)=3.0729). Topics on COVID-19 vaccine acceptance in China include price and side effects. From September to October, Weibo users claimed that the vaccine was overpriced, making up 18.3% (n=899) of messages; 38.1% (n=81,909) of relevant topics on Weibo received likes. On the contrary, the number of messages that considered the vaccine to be reasonably priced was twice as high but received fewer likes, accounting for 25.0% (n=53,693). In addition, we obtained 441 (47.7%) positive and 295 (31.9%) negative Weibo messages about side effects. Interestingly, inactivated vaccines instigated more heated discussions than any other vaccine type. The discussions, forwards, comments, and likes associated with topics related to inactivated vaccines accounted for 53% (n=588), 42% (n=3072), 56% (n=3671), and 49% (n=17,940), respectively, of the total activity associated with the five types of vaccines in China. CONCLUSIONS: Most Chinese netizens believe that the vaccine is less expensive than previously thought, while some claim they cannot afford it for their entire family. The findings demonstrate that Chinese individuals are inclined to be positive about side effects over time and are proud of China’s involvement with vaccine development. Nevertheless, they have a collective misunderstanding about inactivated vaccines, insisting that inactivated vaccines are safer than other vaccines. Reflecting on netizens’ collective responses, the unfolding determinants of COVID-19 vaccine acceptance provide illuminating benchmarks for vaccine-promoting policies. JMIR Publications 2021-01-15 /pmc/articles/PMC7813210/ /pubmed/33400682 http://dx.doi.org/10.2196/26089 Text en ©Fulian Yin, Zhaoliang Wu, Xinyu Xia, Meiqi Ji, Yanyan Wang, Zhiwen Hu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.01.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Yin, Fulian Wu, Zhaoliang Xia, Xinyu Ji, Meiqi Wang, Yanyan Hu, Zhiwen Unfolding the Determinants of COVID-19 Vaccine Acceptance in China |
title | Unfolding the Determinants of COVID-19 Vaccine Acceptance in China |
title_full | Unfolding the Determinants of COVID-19 Vaccine Acceptance in China |
title_fullStr | Unfolding the Determinants of COVID-19 Vaccine Acceptance in China |
title_full_unstemmed | Unfolding the Determinants of COVID-19 Vaccine Acceptance in China |
title_short | Unfolding the Determinants of COVID-19 Vaccine Acceptance in China |
title_sort | unfolding the determinants of covid-19 vaccine acceptance in china |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813210/ https://www.ncbi.nlm.nih.gov/pubmed/33400682 http://dx.doi.org/10.2196/26089 |
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