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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Main Authors: Jeanine P.D. Guidry, Lucinda L. Austin, Nicole H. O’Donnell, Ioana A. Coman, Alessandro Lovari, Marcus Messner
Format: Article
Language:English
Published: SAGE Publishing 2020-10-01
Series:Journal of Primary Care & Community Health
Online Access:https://doi.org/10.1177/2150132720932722
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spelling doaj-1a3bb95b63814ec7b8b0bc5eacc6674a2020-11-25T03:05:58ZengSAGE PublishingJournal of Primary Care & Community Health2150-13272020-10-011110.1177/2150132720932722Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu SeasonJeanine P.D. Guidry0Lucinda L. Austin1Nicole H. O’Donnell2Ioana A. Coman3Alessandro Lovari4Marcus Messner5Virginia Commonwealth University, Richmond, VA, USAUniversity of North Carolina, Chapel Hill, NC, USAVirginia Commonwealth University, Richmond, VA, USATexas Tech University, Lubbock, TX, USAUniversity of Cagliari, Cagliari, ItalyVirginia Commonwealth University, Richmond, VA, USAInfluenza 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.https://doi.org/10.1177/2150132720932722
collection DOAJ
language English
format Article
sources DOAJ
author Jeanine P.D. Guidry
Lucinda L. Austin
Nicole H. O’Donnell
Ioana A. Coman
Alessandro Lovari
Marcus Messner
spellingShingle Jeanine P.D. Guidry
Lucinda L. Austin
Nicole H. O’Donnell
Ioana A. Coman
Alessandro Lovari
Marcus Messner
Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season
Journal of Primary Care & Community Health
author_facet Jeanine P.D. Guidry
Lucinda L. Austin
Nicole H. O’Donnell
Ioana A. Coman
Alessandro Lovari
Marcus Messner
author_sort Jeanine P.D. Guidry
title 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_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_sort tweeting the #flushot: beliefs, barriers, and threats during different periods of the 2018 to 2019 flu season
publisher SAGE Publishing
series Journal of Primary Care & Community Health
issn 2150-1327
publishDate 2020-10-01
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.
url https://doi.org/10.1177/2150132720932722
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