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

JMIR Theme Issue: COVID-19 Special Issue (2388) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Outbreak and Pandemic Preparedness and Management (1673) Infectious Diseases (non-STD/STI) (1481) Infodemiology and Infoveillance (1271) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010)

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 (6) Tweetations (2) Metrics

Journals

  1. Kang S, Hou X, Hu Y, Liu H. Dynamic analysis and optimal control considering cross transmission and variation of information. Scientific Reports 2022;12(1) View
  2. Ogbuokiri B, Ahmadi A, Bragazzi N, Movahedi Nia Z, Mellado B, Wu J, Orbinski J, Asgary A, Kong J. Public sentiments toward COVID-19 vaccines in South African cities: An analysis of Twitter posts. Frontiers in Public Health 2022;10 View
  3. Sooknanan J, Seemungal T. FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models. International Journal of Dynamics and Control 2023;11(2):892 View
  4. Geiß D, Kroy K, Holubec V. Signal propagation and linear response in the delay Vicsek model. Physical Review E 2022;106(5) View
  5. Yin F, She Y, Pan Y, Tang X, Hou H, Wu J. Hot-topics cross-propagation and opinion-transfer dynamics in the Chinese Sina-microblog social media: A modeling study. Journal of Theoretical Biology 2023;566:111480 View
  6. Yi F, Li X, Yu S, Zhang Q. Time matters in pandemic risk communication: A moderated effect of information timeliness on stakeholder perception in Singapore. Risk Analysis 2024;44(5):1254 View