JSAI2022

Presentation information

Organized Session

Organized Session » OS-20

[1M1-OS-20a] 社会現象とAIと可視化(1/3)

Tue. Jun 14, 2022 10:00 AM - 11:40 AM Room M (Room B-2)

オーガナイザ:伊藤 貴之(お茶の水女子大学)[現地]、脇田 建(東京工業大学)

10:00 AM - 10:20 AM

[1M1-OS-20a-01] COVID-19 Infection Diffusion Analysis by Simulation Considering Human Behavior Change

〇Naoki Wakabayashi1, Takumi Sugiura2, Fumito Ihara2, Ryoya Watanabe2, Daiki Kishimoto2, Takahiro Higasa2, Satoshi Kurihara1 (1. Faculty of Science and Technology, Keio University, 2. Graduate School of Science and Technology, Keio University)

Keywords:simulation, COVID-19, Multi Agent

Since COVID-19 was reported in 2019, the disease has spread to most of the countries and regions in the world. Hence, it is important to predict the number of infected and severely ill people and to estimate the effects of policies to control the spread of infection. Mathematical models are commonly used to make such predictions and estimates. However, statistical methods such as mathematical models have difficulty in predicting infection and estimating the effects of preventive measures that consider changes in human behavior. In this study, we developed a multi-agent simulation system in which agents move according to a power law in an environment, and infection spreads in a small-world manner through contact between agents. The simulation was designed so that the effects of preventive measures could be estimated, and it could reproduce the spread of infection in the past. We simulated prediction of the spread of COVID-19, assuming human flow and infectiousness of latest variant.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.

Password