Research Results:Simulation and designing countermeasures against possible COVID-19 resurgence: predicting spreading of infection, estimating and verifying the effectiveness of countermeasures, and predicting demands on medical resources and optimizing their allocations
Research Area 4
Estimation of trends in infection spread, evaluation and verification of effectiveness of infection response measures, as well as analysis of burden on medical resources and impacts on economy.
-
Correlation between movement pattern classification using movement trajectory data and infection spread
2021.04.16
Researcher
Itsuki Noda
-
Correlation Analysis between Travel Pattern Classification and Effective Reproduction Number by Time-Based Regional Mesh Visit Analysis Based on Mobile GPS Data
2021.03.30
Organization
AIST
Researcher
Itsuki Noda
Researcher
Itsuki Noda
Organization
AIST
Researcher
Itsuki Noda
Researcher
Setsuya Kurahashi
Researcher
Setsuya Kurahashi
Researcher
Hiroyasu Inoue
Organization
RIKEN Center for Computational Science
Researcher
Nobuyasu Ito
Researcher
Setsuya Kurahashi
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data
2020.12.15
Organization
Faculty of Science and Technology, Keio University
Researcher
Satoshi Kurihara
Researcher
Tatsuo Unemi
Researcher
Tatsuo Unemi
Researcher
Setsuya Kurahashi
Organization
The University of Tokyo (School of Engineering)
Researcher
Yukio Ohsawa