主催: 横断型基幹科学技術研究団体連合
会議名: 第11回横幹連合コンファレンス
回次: 11
開催地: 統計数理研究所(東京都立川市)
開催日: 2020/10/08 - 2020/10/09
This paper implements the infection process of 2019 Novel Coronavirus Diseases (COVID-19) in an agent-based model and compares the effectiveness of multiple infection prevention measures for a tourist area. In the model, 3200 virtual residents agents live in nine towns where they commute to office or school and visiting stores. The model simulates an infection process of local residents by tourists who regularly own in. The results of the experiments showed that individual infection prevention measures alone or partially combined them do not produce significant effects.