This paper presents SimAEN, an agent-based simulation whose purpose is to assist public health in understanding and controlling AEN. SimAEN models a population of interacting individuals, or 'agents', in which COVID-19 is spreading. These individuals interact with a public health system that includes Automated Exposure Notifiation (AEN) and Manual Contact Tracing (MCT). These interactions influence when individuals enter and leave quarantine, affecting the spread of the simulated disease. Over 70 user-configurable parameters influence the outcome of SimAEN's simulations. These parameters allow the user to tailor SimAEN to a specific public health jurisdiction and to test the effects of various interventions, including different sensitivity settings of AEN.
翻译:本文介绍SimAEN,这是一个以代理物为基础的模拟,目的是协助公共健康理解和控制AEN。SimAEN模型是COVID-19正在扩散的交互式个人或“代理人”群体。这些个人与包括自动接触通知和人工联系追踪(MCT)在内的公共卫生系统互动。这些互动影响个人进入和离开检疫,影响模拟疾病的传播。70多个用户可配置参数影响SimAEN模拟的结果。这些参数使用户能够根据特定公共卫生管辖权对SimAEN进行调整,并测试各种干预的效果,包括AEN的不同敏感环境。