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JACIII Vol.25 No.6 pp. 931-943
doi: 10.20965/jaciii.2021.p0931
(2021)

Paper:

Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation

Yuto Omae*, Jun Toyotani*, Kazuyuki Hara*, Yasuhiro Gon**, and Hirotaka Takahashi***

*College of Industrial Technology, Nihon University
1-2-1 Izumi, Narashino, Chiba 275-8575, Japan

**Nihon University School of Medicine
30-1 Kami, Ooyaguchi, Itabashi, Tokyo 173-8610, Japan

***Research Center for Space Science, Advanced Research Laboratories, Tokyo City University
8-15-1 Todoroki, Setagaya, Tokyo 158-0082, Japan

Received:
October 13, 2020
Accepted:
July 15, 2021
Published:
November 20, 2021
Keywords:
COVID-19, Contact-Confirming Application, multi-agent simulation, SEIR model
Abstract
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation

The relationship between the app parameters p{1,2,3}app and the number of total infected individuals (ppl) at the end of the 45 days simulations (in the case of p3app = 100%). The higher the number of infected individuals, the redder. DVP*: Decreasing value of going out probability

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.

Cite this article as:
Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, and Hirotaka Takahashi, “Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation,” J. Adv. Comput. Intell. Intell. Inform., Vol.25, No.6, pp. 931-943, 2021.
Data files:
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Last updated on Nov. 30, 2021