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A comparative analysis of anti-vax discourse on twitter before and after COVID-19 onset.
Nasralah, Tareq; Elnoshokaty, Ahmed; El-Gayar, Omar; Al-Ramahi, Mohammad; Wahbeh, Abdullah.
  • Nasralah T; Supply Chain and Information Management Group, D'Amore-McKim School of Business, 1848Northeastern University, Boston, MA, USA.
  • Elnoshokaty A; 5336Northern Michigan University, Marquette, MI, United States.
  • El-Gayar O; 40975Dakota State University, Madison, SD, United States.
  • Al-Ramahi M; 215387Texas A&M University-San Antonio, San Antonio, TX, United States.
  • Wahbeh A; Slippery Rock University of Pennsylvania, Slippery Rock, PA, United States.
Health Informatics J ; 28(4): 14604582221135831, 2022.
Article in English | MEDLINE | ID: covidwho-2138935
ABSTRACT
This study aimed to identify and assess the prevalence of vaccine-hesitancy-related topics on Twitter in the periods before and after the Coronavirus Disease 2019 (COVID-19) outbreak. Using a search query, 272,780 tweets associated with anti-vaccine topics and posted between 1 January 2011, and 15 January 2021, were collected. The tweets were classified into a list of 11 topics and analyzed for trends during the periods before and after the onset of COVID-19. Since the beginning of COVID-19, the percentage of anti-vaccine tweets has increased for two topics, "government and politics" and "conspiracy theories," and decreased for "developmental disabilities." Compared to tweets regarding flu and measles, mumps, and rubella vaccines, those concerning COVID-19 vaccines showed larger percentages for the topics of conspiracy theories and alternative treatments, and a lower percentage for developmental disabilities. The results support existing anti-vaccine literature and the assertion that anti-vaccine sentiments are an important public-health issue.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 / Measles Type of study: Experimental Studies / Observational study / Qualitative research Topics: Vaccines Limits: Humans Language: English Journal: Health Informatics J Year: 2022 Document Type: Article Affiliation country: 14604582221135831

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 / Measles Type of study: Experimental Studies / Observational study / Qualitative research Topics: Vaccines Limits: Humans Language: English Journal: Health Informatics J Year: 2022 Document Type: Article Affiliation country: 14604582221135831