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

Behavioural Surveillance for Public Health (294) Statistical Methods for Surveillance and Population Health (188) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717) Innovative Methods in Public Health and Surveillance (383) Infectious Diseases (non-STD/STI) (1726) Outbreak and Pandemic Preparedness and Management (1826) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (137)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57742, first published .
Risk Index of Regional Infection Expansion of COVID-19: Moving Direction Entropy Study Using Mobility Data and Its Application to Tokyo

Risk Index of Regional Infection Expansion of COVID-19: Moving Direction Entropy Study Using Mobility Data and Its Application to Tokyo

Risk Index of Regional Infection Expansion of COVID-19: Moving Direction Entropy Study Using Mobility Data and Its Application to Tokyo

Authors of this article:

Yukio Ohsawa1 Author Orcid Image ;   Yi Sun1 Author Orcid Image ;   Kaira Sekiguchi1 Author Orcid Image ;   Sae Kondo2, 3 Author Orcid Image ;   Tomohide Maekawa4 Author Orcid Image ;   Morihito Takita5 Author Orcid Image ;   Tetsuya Tanimoto5 Author Orcid Image ;   Masahiro Kami6 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics Author Video

Journals

  1. Ohsawa Y, Kondo S, Sekiguchi K, Sun Y. Creating Maps of Risks and Opportunities on Moving Direction Entropy for Urban Redevelopments. Procedia Computer Science 2025;270:5796 View

Books/Policy Documents

  1. Ohsawa Y, Kondo S, Maekawa T, Murata T, Sekiguchi K. Social Simulation of COVID-19 with AI in Japan. View