著者

倉橋 節也

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.35, no.3, pp.D-K28_1-8, 2020-05-01 (Released:2020-05-01)

参考文献数

23

被引用文献数

4 5

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This paper implements the infection process of 2019 Novel Coronavirus Diseases (COVID-19) in an agentbasedmodel and compares the effectiveness of multiple infection prevention measures. In the model, 1120 virtualresidents agents live in two towns where they commute to office or school and visiting stores. The model simulates aninfection process in which they were exposed to the risk of transmission of the novel coronavirus. The results of theexperiments showed that individual infection prevention measures (commuting, teleworking, class closing, contactrate reduction, staying at home after fever) alone or partially combined them do not produce significant effects. Onthe other hand, if comprehensive measures were taken, it was confirmed that the number of deaths, the infectionrate, and the number of severe hospitalised patients per day were decreased significantly at the median and maximumrespectively.