Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Tweeting a Pandemic

Communicating #Covid19 Across the Globe

Datos Bibliográficos

ID21617385
AutoresJeanine P D Guidry (0000-0002-6903-7464, Virginia Commonwealth University, autor de correspondencia), Nicole H O’Donnell (0000-0002-2957-1742, Virginia Commonwealth University), Shana Meganck (0000-0001-6411-5593, James Madison University), Shana L Meganck (James Madison University), Alessandro Lovari (0000-0002-5877-467X, University of Cagliari), Carrie A Miller (0000-0002-8136-7618, Department of Health Behavior and Policy, Virginia Commonwealth University School of Medicine), Marcus Messner (Virginia Commonwealth University), Aloni Hill (Virginia Commonwealth University), Vivian Medina-Messner (Virginia Commonwealth University), Kellie E Carlyle (0000-0001-8287-5537, Department of Health Behavior and Policy, Virginia Commonwealth University School of Medicine)
Año2023
Volumen38
Número11
Páginas2377-2386
Fecha de publicación2023-09-19
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaHealth Communication (JOURNAL)
Identificadores de la revistaISSN: 1041-0236 • E-ISSN: 1532-7027
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10410236.2022.2071192
PMID35510413
OpenAlexW4229015684
IdiomaEN
Citas recibidas2
Referencias citadas22

The COVID-19 pandemic brought about an urgent need for public health departments to clearly communicate their prevention, testing, and treatment recommendations. Previous research supports that Twitter is an important platform that public health departments use to communicate crisis information to stakeholders. This study aimed to shed light on how international health departments shared relevant information about COVID-19 on Twitter in 2020. We conducted a quantitative content analysis of N = 1,200 tweets from twelve countries, across six continents. COVID-19 prevention behaviors were consistently referenced far more than testing or treatment recommendations across countries. Disease severity and susceptibility were referenced more than recommendation benefits, barriers, and efficacy. Results provide support for how public health departments can better communicate recommendations related to COVID-19 behaviors. Based on these results, implications for public health organizations and public relations practitioners worldwide are discussed, and hands-on action guidelines are provided

2019-20 coronavirus outbreak · Advertising · Business · Call to action · Disease · Environmental health · Globe · Health communication · Information Dissemination · Pandemic · Political science · Public health · Public relations · Social media · World Wide Web · Computer Science · Medicine · Misinformation and Its Impacts · Nursing · Public Relations and Crisis Communication · Vaccine Coverage and Hesitancy

  • Health belief model and social media engagement

    Open Access•Zhifei Mao, Di Wang et al.•Frontiers in Public Health•2023

  • Co‐Designing a Framework for Social Media Health Communication to Young People

    Open Access•Melody Taba, Julie Ayre et al.•Health Expectations•2025

  • Pandemics in the Age of Twitter

    Open Access•Cynthia Chew, Gunther Eysenbach et al.•PLoS ONE•2010

  • Historical Origins of the Health Belief Model

    Open Access•Irwin M Rosenstock•Health Education Monographs•1974

  • Título no disponible

    Open Access•null null•Philosophy study•2016

  • Social Learning Theory and the Health Belief Model

    Open Access•Irwin M Rosenstock, Victor J Strecher et al.•Health Education Quarterly•1988

  • Covid-19, Social Determinants Past, Present, and Future, and African Americans’ Health

    Open Access•L R Snowden, Genevieve Graaf•Journal of Racial and Ethnic…•2021

  • Constructing and Communicating Covid-19 Stigma on Twitter

    Open Access•Yachao Li, Sylvia Twersky et al.•International Journal of…•2020

  • Putting the fear back into fear appeals

    Kim Witte•Communication Monographs•1992

  • Going viral

    Open Access•Anatoliy Gruzd, P Mai•Big Data & Society•2020

Obras citantes distintas2
Citas por año0,67
Intervalo de citas2023 - 2025 (3)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 2
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