Simulation of infection spread and control
Objective: To build a simulator (software) that can estimate the infection status and determine the impact of infection on medical care and the economy.
Latest Reports
Research Results Slides
-
Wave Flow in KeyGraph: waves are not over
These will be replaced by English slides as soon as they are available.
- Date
- 2021.10.26
- Researcher
- Yukio Ohsawa
- Organization
- The University of Tokyo (School of Engineering)
-
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #16
These will be replaced by English slides as soon as they are available.
- Date
- 2021.10.26
- Researcher
- Satoshi Kurihara
- Organization
- Faculty of Science and Technology, Keio University
-
Factors behind the infection decrease in Tokyo: quantitative analysis.
These will be replaced by English slides as soon as they are available.
- Date
- 2021.10.26
- Researcher
- Taisuke Nakata
- Organization
- Graduate School of Economics, Faculty of Economics, The University of Tokyo
-
Changes in new positive cases in Jul-Sep period
These will be replaced by English slides as soon as they are available.
- Date
- 2021.10.19
- Researcher
- Akimasa Hirata
- Organization
- Center of Biomedical Physics and Information Technology
-
Risk of being overconfident
These will be replaced by English slides as soon as they are available.
- Date
- 2021.10.19
- Researcher
- Yukio Ohsawa
- Organization
- Graduate School of Economics, Faculty of Economics, The University of Tokyo
-
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #7
These will be replaced by English slides as soon as they are available.
- Date
- 2021.10.12
- Researcher
- Akimasa Hirata
- Organization
- Center of Biomedical Physics and Information Technology