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Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal

Widespread uptake of vaccines is necessary to achieve herd immunity. However, uptake rates have varied across U.S. states during the first six months of the COVID-19 vaccination program. Misbeliefs may play an important role in vaccine hesitancy, and there is a need to understand relationships betwe...

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Autores principales: Pierri, Francesco, Perry, Brea L., DeVerna, Matthew R., Yang, Kai-Cheng, Flammini, Alessandro, Menczer, Filippo, Bryden, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043199/
https://www.ncbi.nlm.nih.gov/pubmed/35474313
http://dx.doi.org/10.1038/s41598-022-10070-w
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author Pierri, Francesco
Perry, Brea L.
DeVerna, Matthew R.
Yang, Kai-Cheng
Flammini, Alessandro
Menczer, Filippo
Bryden, John
author_facet Pierri, Francesco
Perry, Brea L.
DeVerna, Matthew R.
Yang, Kai-Cheng
Flammini, Alessandro
Menczer, Filippo
Bryden, John
author_sort Pierri, Francesco
collection PubMed
description Widespread uptake of vaccines is necessary to achieve herd immunity. However, uptake rates have varied across U.S. states during the first six months of the COVID-19 vaccination program. Misbeliefs may play an important role in vaccine hesitancy, and there is a need to understand relationships between misinformation, beliefs, behaviors, and health outcomes. Here we investigate the extent to which COVID-19 vaccination rates and vaccine hesitancy are associated with levels of online misinformation about vaccines. We also look for evidence of directionality from online misinformation to vaccine hesitancy. We find a negative relationship between misinformation and vaccination uptake rates. Online misinformation is also correlated with vaccine hesitancy rates taken from survey data. Associations between vaccine outcomes and misinformation remain significant when accounting for political as well as demographic and socioeconomic factors. While vaccine hesitancy is strongly associated with Republican vote share, we observe that the effect of online misinformation on hesitancy is strongest across Democratic rather than Republican counties. Granger causality analysis shows evidence for a directional relationship from online misinformation to vaccine hesitancy. Our results support a need for interventions that address misbeliefs, allowing individuals to make better-informed health decisions.
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spelling pubmed-90431992022-04-28 Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal Pierri, Francesco Perry, Brea L. DeVerna, Matthew R. Yang, Kai-Cheng Flammini, Alessandro Menczer, Filippo Bryden, John Sci Rep Article Widespread uptake of vaccines is necessary to achieve herd immunity. However, uptake rates have varied across U.S. states during the first six months of the COVID-19 vaccination program. Misbeliefs may play an important role in vaccine hesitancy, and there is a need to understand relationships between misinformation, beliefs, behaviors, and health outcomes. Here we investigate the extent to which COVID-19 vaccination rates and vaccine hesitancy are associated with levels of online misinformation about vaccines. We also look for evidence of directionality from online misinformation to vaccine hesitancy. We find a negative relationship between misinformation and vaccination uptake rates. Online misinformation is also correlated with vaccine hesitancy rates taken from survey data. Associations between vaccine outcomes and misinformation remain significant when accounting for political as well as demographic and socioeconomic factors. While vaccine hesitancy is strongly associated with Republican vote share, we observe that the effect of online misinformation on hesitancy is strongest across Democratic rather than Republican counties. Granger causality analysis shows evidence for a directional relationship from online misinformation to vaccine hesitancy. Our results support a need for interventions that address misbeliefs, allowing individuals to make better-informed health decisions. Nature Publishing Group UK 2022-04-26 /pmc/articles/PMC9043199/ /pubmed/35474313 http://dx.doi.org/10.1038/s41598-022-10070-w 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pierri, Francesco
Perry, Brea L.
DeVerna, Matthew R.
Yang, Kai-Cheng
Flammini, Alessandro
Menczer, Filippo
Bryden, John
Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
title Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
title_full Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
title_fullStr Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
title_full_unstemmed Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
title_short Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
title_sort online misinformation is linked to early covid-19 vaccination hesitancy and refusal
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043199/
https://www.ncbi.nlm.nih.gov/pubmed/35474313
http://dx.doi.org/10.1038/s41598-022-10070-w
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