Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation
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- Omae Yuto
- College of Industrial Technology, Nihon University
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- Toyotani Jun
- College of Industrial Technology, Nihon University
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- Hara Kazuyuki
- College of Industrial Technology, Nihon University
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- Gon Yasuhiro
- Nihon University School of Medicine
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- Takahashi Hirotaka
- Research Center for Space Science, Advanced Research Laboratories, Tokyo City University
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説明
<p>As of Aug. 2020, coronavirus disease 2019 (COVID-19) is still spreading in the world. In Japan, the Ministry of Health, Labour and Welfare developed “COVID-19 Contact-Confirming Application (COCOA),” which was released on June 19, 2020. By utilizing COCOA, users can know whether or not they had contact with infected persons. If those who had contact with infected individuals keep staying at home, they may not infect those outside. However, effectiveness decreasing the number of infected individuals depending on the app’s various usage parameters is not clear. If it is clear, we could set the objective value of the app’s usage parameters (e.g., the usage rate of the total populations) and call for installation of the app. Therefore, we develop a multi-agent simulator that can express COVID-19 spreading and usage of the apps, such as COCOA. In this study, we describe the simulator and the effectiveness of the app in various scenarios. The result obtained in this study supports those of previously conducted studies.</p>
収録刊行物
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- Journal of Advanced Computational Intelligence and Intelligent Informatics
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Journal of Advanced Computational Intelligence and Intelligent Informatics 25 (6), 931-943, 2021-11-20
富士技術出版株式会社
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詳細情報 詳細情報について
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- CRID
- 1390008688858720768
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- NII論文ID
- 130008119386
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- NII書誌ID
- AA12042502
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- ISSN
- 18838014
- 13430130
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- NDL書誌ID
- 031818188
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可