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Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57742, first published .
Crowd at Jewel Changi Airport with HSBC Rain Vortex

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

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
  2. Zhang M, Maekawa T, Sekiguchi K, Murata T, Ohsawa Y. Transmission Dominance Under Random-Contact Intensification in Epidemic Networks: Multilayer Contact Network Simulation Study. JMIR Formative Research 2026;10:e90393 View
  3. Hou X, Zhang X, Liu Y, Zhao C, Zeng A. Individual mobility heterogeneity drives early urban epidemic dynamics. Physics Letters A 2026;591:131903 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

Conference Proceedings

  1. Ohsawa Y, Kondo S. 2025 IEEE International Conference on Big Data (BigData). Latent Interestingness of Regions Externalized on Multiscale Trend-Reach Entropy View