Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

A Comparison of Covid-19-Related Tweets Disseminated by the Centers for Disease Control and Prevention and the World Health Organization During the Initial Months of the Pandemic

Datos Bibliográficos

ID3758078
AutoresLisa Huddleston (University of Kentucky, Lexington, KY, USA, autor de correspondencia), Mehroz Sajjad (University of Kentucky, Lexington, KY, USA)
Año2022
Páginas000276422211182
Fecha de publicación2022-09-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaAmerican Behavioral Scientist (JOURNAL)
Identificadores de la revistaISSN: 0002-7642 • E-ISSN: 1552-3381
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/00027642221118296
OpenAlexW4294168376
IdiomaEN
Citas recibidas1
Referencias citadas11

The novel coronavirus (Covid-19) that plagued the world in 2020 also brought with it the need to rapidly disseminate information to the public to encourage health-related behavior change. This study examines Covid-19-related Twitter messaging disseminated by the Centers for Disease Control and Prevention and the World Health Organization from February 29 to September 22, 2020. The research examined tweets from four constructed weeks, with the first 2 weeks representing days prior to President Donald Trump's announcement of U.S. withdrawal from WHO, and the second 2-week period after the announcement. The Health Belief Model was used as the theoretical foundation for this study. Frequencies and chi-square analyses revealed less of an overall focus on barriers but no significant differences in messages for tweets related to consequences, benefits, and barriers. Significant differences ( p < .01) were found in engagement messaging for the second 2-week period

2019-20 coronavirus outbreak · Control (management) · Coronavirus disease 2019 (COVID-19) · Disease · Disease control · Dissemination · Environmental health · Infectious disease (medical specialty) · Information Dissemination · Outbreak · Pandemic · Pathology · Political science · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) · Sociology · Computer Science · Demography · Medicine · Misinformation and Its Impacts · Nursing · Psychology · Public Relations and Crisis Communication · Social Media and Politics · Virology

  • Assessing the Saudi Ministry of Health Instagram messaging through the lens of the health belief model

    Open Access•Sharifah AlDossary, Sharifah Abdullah AlDossary et al.•Frontiers in Public Health•2026

  • The role of pictures in improving health communication

    Open Access•Peter S Houts, Cecilia C Doak et al.•Patient Education and Counseling•2006

  • Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network

    Bongwon Suh, Lichan Hong et al.•2010 IEEE Second International…•2010

  • What Research in Motivation Suggests for Public Health

    Irwin M Rosenstock•American Journal of Public Health…•1960

  • Social Network Analysis for Coronavirus (Covid‐19) in the United States

    Open Access•Seungil Yum•Social Science Quarterly•2020

Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 1
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae