scholarly journals A Prediction Method for Viral Disease Outbreak Using a Multi-Agent Simulation Including Capacity Limitation for Isolation Wards and Stay-at-Home Orders

2020 ◽  
Vol 32 (6) ◽  
pp. 998-1007
Author(s):  
Yuto OMAE ◽  
Jun TOYOTANI ◽  
Kazuyuki HARA ◽  
Hirotaka TAKAHASHI
Keyword(s):  
Prediction Method ◽  
Viral Disease ◽  
Disease Outbreak ◽  
Capacity Limitation ◽  
Agent Simulation ◽  
Multi Agent ◽  
At Home

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

2021 ◽  
Vol 25 (6) ◽  
pp. 931-943
Author(s):  
Yuto Omae ◽  
Jun Toyotani ◽  
Kazuyuki Hara ◽  
Yasuhiro Gon ◽  
Hirotaka Takahashi ◽  
...  
Keyword(s):  
Ministry Of Health ◽  
Usage Rate ◽  
The World ◽  
Agent Simulation ◽  
Multi Agent ◽  
Objective Value ◽  
Staying At Home ◽  
At Home

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.

Modeling and Simulation on Knowledge Transfer among Unofficial Groups Based on Communication Networks

2013 ◽  
Vol 411-414 ◽  
pp. 145-151
Author(s):  
Xiao Dong Kou ◽  
Bo Zhang ◽  
Lin Yang
Keyword(s):  
Knowledge Transfer ◽  
Complex Networks ◽  
Communication Networks ◽  
Simulation Analysis ◽  
China National Knowledge Infrastructure ◽  
Simulation Research ◽  
Knowledge Infrastructure ◽  
Learned Societies ◽  
Agent Simulation ◽  
Multi Agent

With features of good interactivity and fast spread speed, unofficial networks play a significant role in knowledge transfer. Based on theories of communication networks and computational modeling method, the transfer situation of complex networks theory within Chinas learned societies, including its rising, spread and development, was modeled and then made simulation analysis by using the Blanche software. By comparing the analysis results with periodicals data from China National Knowledge Infrastructure, the effectiveness of the built model and the reliability of Blanche in multi-agent simulation research are all validated. Furthermore, the future development of complex networks theory in China is predicted as well.

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