基于多Agent仿真的COVID-19联系人识别应用（COCOA）的有效性
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation
摘要：
截至2020年8月，2019冠状病毒病（COVID-19）仍在全球蔓延。在日本，厚生劳动省开发了“COVID-19接触预防应用程序（COCOA）”，并于2020年6月19日发布。通过使用COCOA，用户可以知道他们是否与感染者接触过。如果那些接触过感染者的人一直呆在家里，他们可能不会感染外面的人。然而，根据应用程序的各种使用参数减少感染者数量的有效性尚不清楚。如果它是明确的，我们可以设置应用程序的使用参数的目标值（例如，因此，我们开发了一个多智能体模拟器，可以表达COVID-19传播和应用程序的使用情况，如COCOA。在这项研究中，我们描述了模拟器和应用程序在各种情况下的有效性。在这项研究中获得的结果支持那些以前进行的研究。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
