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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) JMIR Theme Issue: COVID-19 Special Issue (2392) Surveillance Systems (428) Infectious Diseases (non-STD/STI) (1487) Innovative Methods in Public Health and Surveillance (306) Outbreak and Pandemic Preparedness and Management (1678)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44251, first published .
Dining-Out Behavior as a Proxy for the Superspreading Potential of SARS-CoV-2 Infections: Modeling Analysis

Dining-Out Behavior as a Proxy for the Superspreading Potential of SARS-CoV-2 Infections: Modeling Analysis

Dining-Out Behavior as a Proxy for the Superspreading Potential of SARS-CoV-2 Infections: Modeling Analysis

Authors of this article:

Ka Chun Chong1 Author Orcid Image ;   Kehang Li1 Author Orcid Image ;   Zihao Guo1 Author Orcid Image ;   Katherine Min Jia2 Author Orcid Image ;   Eman Yee Man Leung1 Author Orcid Image ;   Shi Zhao1 Author Orcid Image ;   Chi Tim Hung1 Author Orcid Image ;   Carrie Ho Kwan Yam1 Author Orcid Image ;   Tsz Yu Chow1 Author Orcid Image ;   Dong Dong1 Author Orcid Image ;   Huwen Wang1 Author Orcid Image ;   Yuchen Wei1 Author Orcid Image ;   Eng Kiong Yeoh1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Roccetti M. Predictive health intelligence: Potential, limitations and sense making. Mathematical Biosciences and Engineering 2023;20(6):10459 View
  2. Chong K, Zhao S, Hung C, Jia K, Ho J, Lam H, Jiang X, Li C, Lin G, Yam C, Chow T, Wang Y, Li K, Wang H, Wei Y, Guo Z, Yeoh E. Association between meteorological variations and the superspreading potential of SARS-CoV-2 infections. Environment International 2024;188:108762 View