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Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand
Governments around the world are seeking to slow the spread of Covid-19 and reduce hospitalisations by encouraging mass vaccinations for Covid-19. The success of this policy depends on most of the population accepting the vaccine and then being vaccinated. Understanding and predicting the motivation...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989211/ https://www.ncbi.nlm.nih.gov/pubmed/35390053 http://dx.doi.org/10.1371/journal.pone.0266485 |
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author | Kaine, Geoff Wright, Vic Greenhalgh, Suzie |
author_facet | Kaine, Geoff Wright, Vic Greenhalgh, Suzie |
author_sort | Kaine, Geoff |
collection | PubMed |
description | Governments around the world are seeking to slow the spread of Covid-19 and reduce hospitalisations by encouraging mass vaccinations for Covid-19. The success of this policy depends on most of the population accepting the vaccine and then being vaccinated. Understanding and predicting the motivation of individuals to be vaccinated is, therefore, critical in assessing the likely effectiveness of a mass vaccination programme in slowing the spread of the virus. In this paper we draw on the I(3) Response Framework to understand and predict the willingness of New Zealanders to be vaccinated for Covid-19. The Framework differs from most studies predicting willingness to be vaccinated because it is based on the idea that the willingness to adopt a behaviour depends on both involvement (a measure of motivational strength) with the behaviour and attitudes towards the behaviour. We show that predictions of individuals’ willingness to be vaccinated are improved using involvement and attitudes together, compared to attitudes alone. This result has important implications for the implementation of mass vaccination programmes for Covid-19. |
format | Online Article Text |
id | pubmed-8989211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-89892112022-04-08 Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand Kaine, Geoff Wright, Vic Greenhalgh, Suzie PLoS One Research Article Governments around the world are seeking to slow the spread of Covid-19 and reduce hospitalisations by encouraging mass vaccinations for Covid-19. The success of this policy depends on most of the population accepting the vaccine and then being vaccinated. Understanding and predicting the motivation of individuals to be vaccinated is, therefore, critical in assessing the likely effectiveness of a mass vaccination programme in slowing the spread of the virus. In this paper we draw on the I(3) Response Framework to understand and predict the willingness of New Zealanders to be vaccinated for Covid-19. The Framework differs from most studies predicting willingness to be vaccinated because it is based on the idea that the willingness to adopt a behaviour depends on both involvement (a measure of motivational strength) with the behaviour and attitudes towards the behaviour. We show that predictions of individuals’ willingness to be vaccinated are improved using involvement and attitudes together, compared to attitudes alone. This result has important implications for the implementation of mass vaccination programmes for Covid-19. Public Library of Science 2022-04-07 /pmc/articles/PMC8989211/ /pubmed/35390053 http://dx.doi.org/10.1371/journal.pone.0266485 Text en © 2022 Kaine et al 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 author and source are credited. |
spellingShingle | Research Article Kaine, Geoff Wright, Vic Greenhalgh, Suzie Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand |
title | Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand |
title_full | Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand |
title_fullStr | Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand |
title_full_unstemmed | Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand |
title_short | Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand |
title_sort | predicting willingness to be vaccinated for covid-19: evidence from new zealand |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989211/ https://www.ncbi.nlm.nih.gov/pubmed/35390053 http://dx.doi.org/10.1371/journal.pone.0266485 |
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