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Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults

Prior research into the relationship between attitudes and vaccination intention is predominantly cross-sectional and therefore does not provide insight into directions of relations. During the COVID-19 vaccines development and enrollment phase, we studied the temporal dynamics of COVID-19 vaccinati...

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Autores principales: Chambon, Monique, Kammeraad, Wesley G., van Harreveld, Frenk, Dalege, Jonas, Elberse, Janneke E., van der Maas, Han L. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526393/
https://www.ncbi.nlm.nih.gov/pubmed/36182929
http://dx.doi.org/10.1038/s41541-022-00533-6
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author Chambon, Monique
Kammeraad, Wesley G.
van Harreveld, Frenk
Dalege, Jonas
Elberse, Janneke E.
van der Maas, Han L. J.
author_facet Chambon, Monique
Kammeraad, Wesley G.
van Harreveld, Frenk
Dalege, Jonas
Elberse, Janneke E.
van der Maas, Han L. J.
author_sort Chambon, Monique
collection PubMed
description Prior research into the relationship between attitudes and vaccination intention is predominantly cross-sectional and therefore does not provide insight into directions of relations. During the COVID-19 vaccines development and enrollment phase, we studied the temporal dynamics of COVID-19 vaccination intention in relation to attitudes toward COVID-19 vaccines and the pandemic, vaccination in general, social norms and trust. The data are derived from a longitudinal survey study with Dutch participants from a research panel (N = 744; six measurements between December 2020 and May 2021; age 18–84 years [M = 53.32]) and analyzed with vector-autoregression network analyses. While cross-sectional results indicated that vaccination intention was relatively strongly related to attitudes toward the vaccines, results from temporal analyses showed that vaccination intention mainly predicted other vaccination-related variables and to a lesser extent was predicted by variables. We found a weak predictive effect from social norm to vaccination intention that was not robust. This study underlines the challenge of stimulating uptake of new vaccines developed during pandemics, and the importance of examining directions of effects in research into vaccination intention.
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spelling pubmed-95263932022-10-03 Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults Chambon, Monique Kammeraad, Wesley G. van Harreveld, Frenk Dalege, Jonas Elberse, Janneke E. van der Maas, Han L. J. NPJ Vaccines Article Prior research into the relationship between attitudes and vaccination intention is predominantly cross-sectional and therefore does not provide insight into directions of relations. During the COVID-19 vaccines development and enrollment phase, we studied the temporal dynamics of COVID-19 vaccination intention in relation to attitudes toward COVID-19 vaccines and the pandemic, vaccination in general, social norms and trust. The data are derived from a longitudinal survey study with Dutch participants from a research panel (N = 744; six measurements between December 2020 and May 2021; age 18–84 years [M = 53.32]) and analyzed with vector-autoregression network analyses. While cross-sectional results indicated that vaccination intention was relatively strongly related to attitudes toward the vaccines, results from temporal analyses showed that vaccination intention mainly predicted other vaccination-related variables and to a lesser extent was predicted by variables. We found a weak predictive effect from social norm to vaccination intention that was not robust. This study underlines the challenge of stimulating uptake of new vaccines developed during pandemics, and the importance of examining directions of effects in research into vaccination intention. Nature Publishing Group UK 2022-10-01 /pmc/articles/PMC9526393/ /pubmed/36182929 http://dx.doi.org/10.1038/s41541-022-00533-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chambon, Monique
Kammeraad, Wesley G.
van Harreveld, Frenk
Dalege, Jonas
Elberse, Janneke E.
van der Maas, Han L. J.
Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults
title Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults
title_full Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults
title_fullStr Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults
title_full_unstemmed Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults
title_short Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults
title_sort understanding change in covid-19 vaccination intention with network analysis of longitudinal data from dutch adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526393/
https://www.ncbi.nlm.nih.gov/pubmed/36182929
http://dx.doi.org/10.1038/s41541-022-00533-6
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