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

Early Results from COVID-19 Studies (335) Public (e)Health, Digital Epidemiology and Public Health Informatics (850) JMIR Theme Issue: COVID-19 Special Issue (2493) Infodemiology and Infoveillance (1449) Infectious Diseases (non-STD/STI) (1655) Outbreak and Pandemic Preparedness and Management (1779) Hygiene and Infection Prevention (347) Statistical Methods for Surveillance and Population Health (170) Epidemiology (173)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59230, first published .
Quantifying the Regional Disproportionality of COVID-19 Spread: Modeling Study

Quantifying the Regional Disproportionality of COVID-19 Spread: Modeling Study

Quantifying the Regional Disproportionality of COVID-19 Spread: Modeling Study

Authors of this article:

Kenji Sasaki1 Author Orcid Image ;   Yoichi Ikeda1 Author Orcid Image ;   Takashi Nakano1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Kenji Sasaki   1 , PhD ;   Yoichi Ikeda   1 , PhD ;   Takashi Nakano   1, 2 , PhD

1 Center for Infectious Disease Education and Research, Osaka University, Suita, Osaka, Japan

2 Research Center for Nuclear Physics, Osaka University, Ibaraki, Osaka, Japan

Corresponding Author:

  • Kenji Sasaki, PhD
  • Center for Infectious Disease Education and Research
  • Osaka University
  • Co-creation BLDG. D88-1, 2-1 Yamadaoka
  • Suita, Osaka, 565-0871
  • Japan
  • Phone: 81 50-5604-3730
  • Email: kenjis@cider.osaka-u.ac.jp