(S)pin the flu vaccine: Recipes for concern

Jeanine P.D. Guidry; Ioana A. Coman; Emily K. Vraga; Nicole H. O'Donnell; Nihar Sreepada

doi:10.1016/j.vaccine.2020.06.012

(S)pin the flu vaccine: Recipes for concern

Jeanine P.D. Guidry, Ioana A. Coman, Emily K. Vraga, Nicole H. O'Donnell, Nihar Sreepada

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11 Scopus citations

Abstract

Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals.

Original language	English
Pages (from-to)	5498-5506
Number of pages	9
Journal	Vaccine
Volume	38
Issue number	34
DOIs	https://doi.org/10.1016/j.vaccine.2020.06.012
State	Published - Jul 22 2020

Keywords

Content analysis
Flu vaccine
Health Belief Model
Influenza
Pinterest

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10.1016/j.vaccine.2020.06.012

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title = "(S)pin the flu vaccine: Recipes for concern",

abstract = "Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals.",

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AU - Guidry, Jeanine P.D.

AU - Coman, Ioana A.

AU - Vraga, Emily K.

AU - O'Donnell, Nicole H.

AU - Sreepada, Nihar

PY - 2020/7/22

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AB - Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals.

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KW - Health Belief Model

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(S)pin the flu vaccine: Recipes for concern

Abstract

Keywords

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