This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Infodemiology and Infoveillance (1369) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Information Seeking, Information Needs (481) Mass Media/Social Media Communication and Campaigns (466) Innovative Methods in Public Health and Surveillance (336) Infectious Diseases (non-STD/STI) (1592) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) Information Quality in Digital Media (347) Information Demand (33)

Published on in Vol 7, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26644, first published .
Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries

Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries

Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries

Authors of this article:

Wai-kit Ming1, 2 Author Orcid Image ;   Fengqiu Huang2 Author Orcid Image ;   Qiuyi Chen3 Author Orcid Image ;   Beiting Liang4 Author Orcid Image ;   Aoao Jiao5 Author Orcid Image ;   Taoran Liu1 Author Orcid Image ;   Huailiang Wu6 Author Orcid Image ;   Babatunde Akinwunmi7 Author Orcid Image ;   Jia Li6 Author Orcid Image ;   Guan Liu8 Author Orcid Image ;   Casper J P Zhang9 Author Orcid Image ;   Jian Huang10 Author Orcid Image ;   Qian Liu3, 11 Author Orcid Image
Article Authors Cited by (9) Tweetations (16) Metrics

Journals

  1. Wang B, Liang B, Chen Q, Wang S, Wang S, Huang Z, Long Y, Wu Q, Xu S, Jinna P, Yang F, Ming W, Liu Q. COVID-19 Related Early Google Search Behavior and Health Communication in the United States: Panel Data Analysis on Health Measures. International Journal of Environmental Research and Public Health 2023;20(4):3007 View
  2. Dai S, Han L, Rashid T. Influenza surveillance with Baidu index and attention-based long short-term memory model. PLOS ONE 2023;18(1):e0280834 View
  3. Rovetta A. Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis. JMIRx Med 2022;3(2):e35356 View
  4. Xu Y, Margolin D. Collective Information Seeking During a Health Crisis : Predictors of Google Trends During COVID-19. Health Communication 2024;39(2):388 View
  5. Andía-Rodríguez I, Ayala-Laurel V, Díaz-Carrillo J, Llange-Sayan M, Picón S, Reyes-Reyes E, Armada J, Mejía C. Análisis con Google Trends y Our World in Data sobre la salud mental mundial en el contexto de la pandemia por covid-19. Revista Colombiana de Psiquiatría 2023 View
  6. Marshall D, McRee A, Gower A, Reiter P. Views about vaccines and how views changed during the COVID-19 pandemic among a national sample of young gay, bisexual, and other men who have sex with men. Human Vaccines & Immunotherapeutics 2023;19(3) View
  7. Rovetta A. Google trends in infodemiology: Methodological steps to avoid irreproducible results and invalid conclusions. International Journal of Medical Informatics 2024;190:105563 View
  8. Chung S, Kim J, Baik J, Chi S, Kim D. Identifying issues in international construction projects from news text using pre-trained models and clustering. Automation in Construction 2024;168:105875 View