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Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season

Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the...

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Autores principales: Guidry, Jeanine P.D., Austin, Lucinda L., O’Donnell, Nicole H., Coman, Ioana A., Lovari, Alessandro, Messner, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585887/
https://www.ncbi.nlm.nih.gov/pubmed/33089738
http://dx.doi.org/10.1177/2150132720932722
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author Guidry, Jeanine P.D.
Austin, Lucinda L.
O’Donnell, Nicole H.
Coman, Ioana A.
Lovari, Alessandro
Messner, Marcus
author_facet Guidry, Jeanine P.D.
Austin, Lucinda L.
O’Donnell, Nicole H.
Coman, Ioana A.
Lovari, Alessandro
Messner, Marcus
author_sort Guidry, Jeanine P.D.
collection PubMed
description Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the current study is the first 1 to explore the content and nature of influenza information that is shared on Twitter, comparing tweets published in the early flu season with those posted in peak flu season. Using a quantitative content analysis, 1000 tweets from both parts of the flu season were analyzed for use of Health Belief Model (HBM) variables, engagement, and flu vaccine specific variables. Findings show several promising opportunities for health organizations and professionals: HBM constructs were present more frequently than in previous, related studies, and fewer vaccine-hesitant tweets appear to be present. However, the presence of high barriers to flu vaccine uptake increased significantly from early to peak season, including an increase in the mention of conspiracy theories. Flu vaccine related tweets appear to vary in misinformation level and density throughout the flu season. While this should be confirmed by further studies over multiple flu seasons, this a finding that should be considered by public health organizations when developing flu vaccine campaigns on social media.
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spelling pubmed-75858872020-11-03 Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season Guidry, Jeanine P.D. Austin, Lucinda L. O’Donnell, Nicole H. Coman, Ioana A. Lovari, Alessandro Messner, Marcus J Prim Care Community Health Original Research Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the current study is the first 1 to explore the content and nature of influenza information that is shared on Twitter, comparing tweets published in the early flu season with those posted in peak flu season. Using a quantitative content analysis, 1000 tweets from both parts of the flu season were analyzed for use of Health Belief Model (HBM) variables, engagement, and flu vaccine specific variables. Findings show several promising opportunities for health organizations and professionals: HBM constructs were present more frequently than in previous, related studies, and fewer vaccine-hesitant tweets appear to be present. However, the presence of high barriers to flu vaccine uptake increased significantly from early to peak season, including an increase in the mention of conspiracy theories. Flu vaccine related tweets appear to vary in misinformation level and density throughout the flu season. While this should be confirmed by further studies over multiple flu seasons, this a finding that should be considered by public health organizations when developing flu vaccine campaigns on social media. SAGE Publications 2020-10-22 /pmc/articles/PMC7585887/ /pubmed/33089738 http://dx.doi.org/10.1177/2150132720932722 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Guidry, Jeanine P.D.
Austin, Lucinda L.
O’Donnell, Nicole H.
Coman, Ioana A.
Lovari, Alessandro
Messner, Marcus
Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season
title Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season
title_full Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season
title_fullStr Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season
title_full_unstemmed Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season
title_short Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season
title_sort tweeting the #flushot: beliefs, barriers, and threats during different periods of the 2018 to 2019 flu season
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585887/
https://www.ncbi.nlm.nih.gov/pubmed/33089738
http://dx.doi.org/10.1177/2150132720932722
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