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COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media

Purpose: This study analyzed the insights and sentiments of COVID-19 anti-vaccine comments from Instagram feeds and Facebook postings. The sentiments related to the acceptance and effectiveness of the vaccines that were on the verge of being made available to the public. Patients and methods: The qu...

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Autores principales: Wong, Li Ping, Lin, Yulan, Alias, Haridah, Bakar, Sazaly Abu, Zhao, Qinjian, Hu, Zhijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622531/
https://www.ncbi.nlm.nih.gov/pubmed/34828576
http://dx.doi.org/10.3390/healthcare9111530
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author Wong, Li Ping
Lin, Yulan
Alias, Haridah
Bakar, Sazaly Abu
Zhao, Qinjian
Hu, Zhijian
author_facet Wong, Li Ping
Lin, Yulan
Alias, Haridah
Bakar, Sazaly Abu
Zhao, Qinjian
Hu, Zhijian
author_sort Wong, Li Ping
collection PubMed
description Purpose: This study analyzed the insights and sentiments of COVID-19 anti-vaccine comments from Instagram feeds and Facebook postings. The sentiments related to the acceptance and effectiveness of the vaccines that were on the verge of being made available to the public. Patients and methods: The qualitative software QSR-NVivo 10 was used to manage, code, and analyse the data. Results: The analyses uncovered several major issues concerning COVID-19 vaccine hesitancy. The production of the COVID-19 vaccine at an unprecedented speed evoked the fear of skipping steps that would compromise vaccine safety. The unknown long-term effects and duration of protection erode confidence in taking the vaccines. There were also persistent concerns with regard to vaccine compositions that could be harmful or contain aborted foetal cells. The rate of COVID-19 death was viewed as low. Many interpreted the 95% effectiveness of the COVID-19 vaccine as insufficient. Preference for immunity gains from having an infection was viewed as more effective. Peer-reviewed publication-based data were favoured as a source of trust in vaccination decision-making. Conclusions: The anti-COVID-19 vaccine sentiments found in this study provide important insights for the formulation of public health messages to instill confidence in the vaccines.
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spelling pubmed-86225312021-11-27 COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media Wong, Li Ping Lin, Yulan Alias, Haridah Bakar, Sazaly Abu Zhao, Qinjian Hu, Zhijian Healthcare (Basel) Article Purpose: This study analyzed the insights and sentiments of COVID-19 anti-vaccine comments from Instagram feeds and Facebook postings. The sentiments related to the acceptance and effectiveness of the vaccines that were on the verge of being made available to the public. Patients and methods: The qualitative software QSR-NVivo 10 was used to manage, code, and analyse the data. Results: The analyses uncovered several major issues concerning COVID-19 vaccine hesitancy. The production of the COVID-19 vaccine at an unprecedented speed evoked the fear of skipping steps that would compromise vaccine safety. The unknown long-term effects and duration of protection erode confidence in taking the vaccines. There were also persistent concerns with regard to vaccine compositions that could be harmful or contain aborted foetal cells. The rate of COVID-19 death was viewed as low. Many interpreted the 95% effectiveness of the COVID-19 vaccine as insufficient. Preference for immunity gains from having an infection was viewed as more effective. Peer-reviewed publication-based data were favoured as a source of trust in vaccination decision-making. Conclusions: The anti-COVID-19 vaccine sentiments found in this study provide important insights for the formulation of public health messages to instill confidence in the vaccines. MDPI 2021-11-09 /pmc/articles/PMC8622531/ /pubmed/34828576 http://dx.doi.org/10.3390/healthcare9111530 Text en © 2021 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
Wong, Li Ping
Lin, Yulan
Alias, Haridah
Bakar, Sazaly Abu
Zhao, Qinjian
Hu, Zhijian
COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media
title COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media
title_full COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media
title_fullStr COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media
title_full_unstemmed COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media
title_short COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media
title_sort covid-19 anti-vaccine sentiments: analyses of comments from social media
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622531/
https://www.ncbi.nlm.nih.gov/pubmed/34828576
http://dx.doi.org/10.3390/healthcare9111530
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