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COVID-19 vaccine acceptance and its socio-demographic and emotional determinants: A multi-country cross-sectional study

BACKGROUND: Multiple COVID-19 vaccines have now been licensed for human use, with other candidate vaccines in different stages of development. Effective and safe vaccines against COVID-19 have been essential in achieving global reductions in severe disease caused by severe acute respiratory coronavi...

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Autores principales: de Figueiredo, A., Simas, C., Larson, H.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647027/
https://www.ncbi.nlm.nih.gov/pubmed/36414475
http://dx.doi.org/10.1016/j.vaccine.2022.10.051
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author de Figueiredo, A.
Simas, C.
Larson, H.J.
author_facet de Figueiredo, A.
Simas, C.
Larson, H.J.
author_sort de Figueiredo, A.
collection PubMed
description BACKGROUND: Multiple COVID-19 vaccines have now been licensed for human use, with other candidate vaccines in different stages of development. Effective and safe vaccines against COVID-19 have been essential in achieving global reductions in severe disease caused by severe acute respiratory coronavirus 2 (SARS-CoV-2), but multiple factors, including vaccine supply and vaccine confidence, continue to impact global uptake of COVID-19 vaccines. In this study, we explore determinants of COVID-19 vaccination intent across17 countries worldwide. METHODS: In this large-scale multi-country study, we explored intent to accept a COVID-19 vaccine and the socio-demographic and emotional determinants of uptake for 17 countries and over 19,000 individuals surveyed in June and July 2020 via nationally representative samples. We used Bayesian ordinal logistic regressions to probe the relationship between intent to accept a COVID-19 vaccine and individuals’ socio-demographic status, their confidence in COVID-19 vaccines, and their recent emotional status. Gibbs sampling was used for Bayesian model inference, with 95% Bayesian highest posterior density intervals used to capture uncertainty. FINDINGS: Intent to accept a COVID-19 vaccine was found to be highest in India, where 77⋅8% (95% HPD, 75⋅5 to 80⋅0%) of respondents strongly agreeing that they would take a new COVID-19 vaccine if it were available. The Democratic Republic of Congo (15⋅5%, 12⋅2 to 18⋅6%) and France (26⋅4%, 23⋅7 to 29⋅2%) had the lowest share of respondents who strongly agreed that they would accept a COVID-19. Confidence in the safety, importance, and effectiveness of COVID-19 vaccines are the most widely informative determinants of vaccination intent. Socio-demographic and emotional determinants played a lesser role, with being male and having higher education associated with increased uptake intent in five countries and being fearful of catching COVID-19 also a strong determinant of uptake intent. INTERPRETATION: Barriers to COVID-19 vaccine acceptance are found to be country and context dependent. These findings highlight the importance of regular monitoring of COVID-19 vaccine confidence to identify groups less likely to vaccinate.
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spelling pubmed-96470272022-11-14 COVID-19 vaccine acceptance and its socio-demographic and emotional determinants: A multi-country cross-sectional study de Figueiredo, A. Simas, C. Larson, H.J. Vaccine Article BACKGROUND: Multiple COVID-19 vaccines have now been licensed for human use, with other candidate vaccines in different stages of development. Effective and safe vaccines against COVID-19 have been essential in achieving global reductions in severe disease caused by severe acute respiratory coronavirus 2 (SARS-CoV-2), but multiple factors, including vaccine supply and vaccine confidence, continue to impact global uptake of COVID-19 vaccines. In this study, we explore determinants of COVID-19 vaccination intent across17 countries worldwide. METHODS: In this large-scale multi-country study, we explored intent to accept a COVID-19 vaccine and the socio-demographic and emotional determinants of uptake for 17 countries and over 19,000 individuals surveyed in June and July 2020 via nationally representative samples. We used Bayesian ordinal logistic regressions to probe the relationship between intent to accept a COVID-19 vaccine and individuals’ socio-demographic status, their confidence in COVID-19 vaccines, and their recent emotional status. Gibbs sampling was used for Bayesian model inference, with 95% Bayesian highest posterior density intervals used to capture uncertainty. FINDINGS: Intent to accept a COVID-19 vaccine was found to be highest in India, where 77⋅8% (95% HPD, 75⋅5 to 80⋅0%) of respondents strongly agreeing that they would take a new COVID-19 vaccine if it were available. The Democratic Republic of Congo (15⋅5%, 12⋅2 to 18⋅6%) and France (26⋅4%, 23⋅7 to 29⋅2%) had the lowest share of respondents who strongly agreed that they would accept a COVID-19. Confidence in the safety, importance, and effectiveness of COVID-19 vaccines are the most widely informative determinants of vaccination intent. Socio-demographic and emotional determinants played a lesser role, with being male and having higher education associated with increased uptake intent in five countries and being fearful of catching COVID-19 also a strong determinant of uptake intent. INTERPRETATION: Barriers to COVID-19 vaccine acceptance are found to be country and context dependent. These findings highlight the importance of regular monitoring of COVID-19 vaccine confidence to identify groups less likely to vaccinate. The Author(s). Published by Elsevier Ltd. 2023-01-09 2022-11-10 /pmc/articles/PMC9647027/ /pubmed/36414475 http://dx.doi.org/10.1016/j.vaccine.2022.10.051 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
de Figueiredo, A.
Simas, C.
Larson, H.J.
COVID-19 vaccine acceptance and its socio-demographic and emotional determinants: A multi-country cross-sectional study
title COVID-19 vaccine acceptance and its socio-demographic and emotional determinants: A multi-country cross-sectional study
title_full COVID-19 vaccine acceptance and its socio-demographic and emotional determinants: A multi-country cross-sectional study
title_fullStr COVID-19 vaccine acceptance and its socio-demographic and emotional determinants: A multi-country cross-sectional study
title_full_unstemmed COVID-19 vaccine acceptance and its socio-demographic and emotional determinants: A multi-country cross-sectional study
title_short COVID-19 vaccine acceptance and its socio-demographic and emotional determinants: A multi-country cross-sectional study
title_sort covid-19 vaccine acceptance and its socio-demographic and emotional determinants: a multi-country cross-sectional study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647027/
https://www.ncbi.nlm.nih.gov/pubmed/36414475
http://dx.doi.org/10.1016/j.vaccine.2022.10.051
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