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

Public (e)Health (335) JMIR Theme Issue: COVID-19 Special Issue (2084) Infodemiology and Infoveillance (999) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (816) Outbreak and Pandemic Preparedness and Management (1450) Mass Media/Social Media Communication and Campaigns (401) Surveillance Systems (356) Information Seeking, Information Needs (336) Innovative Methods in Public Health and Surveillance (239) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1328) Infectious Diseases (non-STD/STI) (1222) Quality/Credibility of eHealth Information and Trust Issues (371)

Published on in Vol 23 , No 9 (2021) :September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28975, first published .
Association Between What People Learned About COVID-19 Using Web Searches and Their Behavior Toward Public Health Guidelines: Empirical Infodemiology Study

Association Between What People Learned About COVID-19 Using Web Searches and Their Behavior Toward Public Health Guidelines: Empirical Infodemiology Study

Association Between What People Learned About COVID-19 Using Web Searches and Their Behavior Toward Public Health Guidelines: Empirical Infodemiology Study

Authors of this article:

Ikpe Justice Akpan 1 Author Orcid Image ;   Obianuju Genevieve Aguolu 2 Author Orcid Image ;   Yawo Mamoua Kobara 3 Author Orcid Image ;   Rouzbeh Razavi 4 Author Orcid Image ;   Asuama A Akpan 5 Author Orcid Image ;   Murali Shanker 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (7) Metrics

Journals

  1. Khosrowjerdi M, Fylking C, Zeraatkar N. Online information seeking during the COVID-19 pandemic: A cross-country analysis. IFLA Journal 2023:034003522211414 View
  2. Sharma P, Sinicrope A, Sinicrope P, Brockman T, Reinicke N, West I, Wiepert L, Glasgow A, Sangaralingham L, Holland A, Patten C. Patient Telemedicine Perceptions During the COVID-19 Pandemic Within a Multi-State Medical Institution: Qualitative Study. JMIR Formative Research 2022;6(5):e37012 View
  3. Weng Z, Lin A. Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2022;19(24):16376 View
  4. Niu Q, Liu J, Zhao Z, Onishi M, Kawaguchi A, Bandara A, Harada K, Aoyama T, Nagai-Tanima M. Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study. BMC Infectious Diseases 2022;22(1) View
  5. Udoinwang D, Akpan I. Digital Transformation, Social Media Revolution, and E-Society Advances in Africa: Are Indigenous Cultural Identities in Danger of Extinction?. SSRN Electronic Journal 2023 View
  6. Piltch-Loeb R, Su M, Hughes B, Testa M, Goldberg B, Braddock K, Miller-Idriss C, Maturo V, Savoia E. Testing the Efficacy of Attitudinal Inoculation Videos to Enhance COVID-19 Vaccine Acceptance: Quasi-Experimental Intervention Trial. JMIR Public Health and Surveillance 2022;8(6):e34615 View
  7. Lorenz-Spreen P, Oswald L, Lewandowsky S, Hertwig R. A systematic review of worldwide causal and correlational evidence on digital media and democracy. Nature Human Behaviour 2022;7(1):74 View
  8. Oliveira J, Rodrigues I, Matos M, Carvalho I, Matos A, Figueira L, da Conceição Fontes M, Alegria N, Lopes A, do Vale B, Cardoso L, Coelho A. Knowledge about COVID-19 Best Practices in the North of Portugal and the Importance of Health Education in the Prevention of Pandemic Events. Societies 2022;12(3):82 View