论文标题
基于多代理模拟
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation
论文作者
论文摘要
截至2020年8月，2019年冠状病毒病（Covid-19）仍在世界上蔓延。在日本，卫生部，劳动和福利部开发了“ Covid-19-19-Coconforming申请（可可），该应用程序于2020年6月19日发布。通过使用可可，用户可以知道他们是否与受感染者接触。如果那些与感染者接触的人继续留在家里，他们可能不会感染外面的人。但是，根据应用程序的各种用法参数的有效性减少感染者的数量尚不清楚。如果很明显，我们可以设置应用程序使用参数的客观值（例如，总人口的使用率），并呼吁安装应用程序。因此，我们开发了一个多代理模拟器，该模拟器可以表达Cocoa等应用程序的传播和使用，例如可可。在这项研究中，我们在各种情况下描述了该应用程序的模拟器和有效性。在这项研究中获得的结果支持了先前进行的研究的结果。
As of Aug. 2020, coronavirus disease 2019 (COVID-19) is still spreading in the world. In Japan, the Ministry of Health, Labor, and Welfare developed "COVID-19 Contact-Confirming Application (COCOA)," which was released on Jun. 19, 2020. By utilizing COCOA, users can know whether or not they had contact with infected persons. If those who had contact with infectors keep staying at home, they may not infect those outside. However, effectiveness decreasing the number of infectors 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.
