Your browser doesn't support javascript.
loading
COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis.
Islam, Md Saiful; Sarkar, Tonmoy; Khan, Sazzad Hossain; Mostofa Kamal, Abu-Hena; Hasan, S M Murshid; Kabir, Alamgir; Yeasmin, Dalia; Islam, Mohammad Ariful; Amin Chowdhury, Kamal Ibne; Anwar, Kazi Selim; Chughtai, Abrar Ahmad; Seale, Holly.
Afiliación
  • Islam MS; 1Program for Emerging Infections, Infectious Diseases Division, icddr,b, Dhaka, Bangladesh.
  • Sarkar T; 2School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.
  • Khan SH; 1Program for Emerging Infections, Infectious Diseases Division, icddr,b, Dhaka, Bangladesh.
  • Mostofa Kamal AH; 1Program for Emerging Infections, Infectious Diseases Division, icddr,b, Dhaka, Bangladesh.
  • Hasan SMM; 3Khulna University of Engineering and Technology, Khulna, Bangladesh.
  • Kabir A; 4Mahidol University, Nakhon Pathom, Thailand.
  • Yeasmin D; 2School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.
  • Islam MA; 5Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.
  • Amin Chowdhury KI; 1Program for Emerging Infections, Infectious Diseases Division, icddr,b, Dhaka, Bangladesh.
  • Anwar KS; 1Program for Emerging Infections, Infectious Diseases Division, icddr,b, Dhaka, Bangladesh.
  • Chughtai AA; 1Program for Emerging Infections, Infectious Diseases Division, icddr,b, Dhaka, Bangladesh.
  • Seale H; 6Department of Infectious Diseases and Microbiology, School of Medicine, International University of Health and Welfare, Narita, Japan.
Am J Trop Med Hyg ; 103(4): 1621-1629, 2020 10.
Article en En | MEDLINE | ID: mdl-32783794
Infodemics, often including rumors, stigma, and conspiracy theories, have been common during the COVID-19 pandemic. Monitoring social media data has been identified as the best method for tracking rumors in real time and as a possible way to dispel misinformation and reduce stigma. However, the detection, assessment, and response to rumors, stigma, and conspiracy theories in real time are a challenge. Therefore, we followed and examined COVID-19-related rumors, stigma, and conspiracy theories circulating on online platforms, including fact-checking agency websites, Facebook, Twitter, and online newspapers, and their impacts on public health. Information was extracted between December 31, 2019 and April 5, 2020, and descriptively analyzed. We performed a content analysis of the news articles to compare and contrast data collected from other sources. We identified 2,311 reports of rumors, stigma, and conspiracy theories in 25 languages from 87 countries. Claims were related to illness, transmission and mortality (24%), control measures (21%), treatment and cure (19%), cause of disease including the origin (15%), violence (1%), and miscellaneous (20%). Of the 2,276 reports for which text ratings were available, 1,856 claims were false (82%). Misinformation fueled by rumors, stigma, and conspiracy theories can have potentially serious implications on the individual and community if prioritized over evidence-based guidelines. Health agencies must track misinformation associated with the COVID-19 in real time, and engage local communities and government stakeholders to debunk misinformation.
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Salud Pública / Infecciones por Coronavirus / Pandemias / Medios de Comunicación Sociales / Betacoronavirus Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Am J Trop Med Hyg Año: 2020 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Salud Pública / Infecciones por Coronavirus / Pandemias / Medios de Comunicación Sociales / Betacoronavirus Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Am J Trop Med Hyg Año: 2020 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Estados Unidos