论文标题
考虑到社会成本的COVID-19感染率的最佳控制
Optimal control of COVID-19 infection rate considering social costs
论文作者
论文摘要
COVID-19的大流行构成了政策制造危机，以减慢或结束与经济优先事项的大流行冲突。本文提供了最佳疾病控制政策的数学分析，该政策具有理想化的隔室模型，用于疾病传播和社会和经济成本的简单模型。发现并将两种当地最佳的控制策略分为“抑制”和“缓解”策略。当我们将疫苗接种纳入模型并找到新的最佳“延迟减轻”策略时，我们分析了这些策略如何改变。
The COVID-19 pandemic has posed a policy making crisis where efforts to slow down or end the pandemic conflict with economic priorities. This paper provides mathematical analysis of optimal disease control policies with idealized compartmental models for disease propagation and simplistic models of social and economic costs. Two locally optimal control strategies are found and categorized as `suppression' and `mitigation' strategies. We analyze how these strategies change when we incorporate vaccination into the model and find a new optimal `delay-mitigation' strategy.
