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

General Articles on Innovation and Technology in Public Health (74) Infectious Diseases (non-STD/STI) (1591) Public (e)Health, Digital Epidemiology and Public Health Informatics (746)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46687, first published .
Estimating the Epidemic Size of Superspreading Coronavirus Outbreaks in Real Time: Quantitative Study

Estimating the Epidemic Size of Superspreading Coronavirus Outbreaks in Real Time: Quantitative Study

Estimating the Epidemic Size of Superspreading Coronavirus Outbreaks in Real Time: Quantitative Study

Authors of this article:

Kitty Y Lau1, 2 Author Orcid Image ;   Jian Kang2 Author Orcid Image ;   Minah Park3 Author Orcid Image ;   Gabriel Leung1, 2 Author Orcid Image ;   Joseph T Wu1, 2, 4 Author Orcid Image ;   Kathy Leung1, 2, 4 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Kitty Y Lau   1, 2 , BEng ;   Jian Kang   2 , MS ;   Minah Park   3 , PhD ;   Gabriel Leung   1, 2 , MD ;   Joseph T Wu   1, 2, 4 , PhD ;   Kathy Leung   1, 2, 4 , PhD

1 Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, China (Hong Kong)

2 WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China (Hong Kong)

3 Department of Health Convergence, Ewha Womans University, Seoul, Republic of Korea

4 The University of Hong Kong – Shenzhen Hospital, Shenzhen, China

Corresponding Author:

  • Kathy Leung, PhD
  • WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health
  • Li Ka Shing Faculty of Medicine
  • 1/F North Wing, Patrick Manson Building
  • 7 Sassoon Road, Pok Fu Lam
  • The University of Hong Kong
  • China (Hong Kong)
  • Phone: 852 3917 6735
  • Email: ksmleung@hku.hk