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

JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1728) Infectious Diseases (non-STD/STI) (1575) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25734, first published .
Quantifying the Influence of Delay in Opinion Transmission of COVID-19 Information Propagation: Modeling Study

Quantifying the Influence of Delay in Opinion Transmission of COVID-19 Information Propagation: Modeling Study

Quantifying the Influence of Delay in Opinion Transmission of COVID-19 Information Propagation: Modeling Study

Authors of this article:

Fulian Yin1 Author Orcid Image ;   Xueying Shao1 Author Orcid Image ;   Meiqi Ji1 Author Orcid Image ;   Jianhong Wu2 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Fulian Yin   1 , PhD ;   Xueying Shao   1 , MD ;   Meiqi Ji   1 , MD ;   Jianhong Wu   2 , PhD

1 College of Information and Communication Engineering, Communication University of China, Beijing, China

2 Fields-CQAM Laboratory of Mathematics for Public Health, Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada

Corresponding Author:

  • Jianhong Wu, PhD
  • Fields-CQAM Laboratory of Mathematics for Public Health
  • Laboratory for Industrial and Applied Mathematics
  • York University
  • 4700 Keele St
  • Toronto, ON, M3J1P3
  • Canada
  • Phone: 1 416-736-5243
  • Email: wujhhida@hotmail.com