论文标题
最佳大流行的控制理论方法
A control theory approach to optimal pandemic mitigation
论文作者
论文摘要
在同质易感感染的(SIR)模型的框架内,我们使用控制理论方法来识别最佳的大流行缓解策略。我们得出了相当普遍的条件,以最大程度地减少引入社会控制措施(例如关闭学校,社会疏远,锁定等)所产生的成本,这是在这种约束中,被感染的人口的受感染部分永远不会超过与公共卫生系统能力相对应的一定最大值。最优性是通过多种模型成本函数的变异和数值方法得出和验证的。恢复后免疫反应衰变的影响被考虑并根据基于牛群免疫的策略的可行性进行了讨论。
In the framework of homogeneous susceptible-infected-recovered (SIR) models, we use a control theory approach to identify optimal pandemic mitigation strategies. We derive rather general conditions for reaching herd immunity while minimizing the costs incurred by the introduction of societal control measures (such as closing schools, social distancing, lockdowns, etc.), under the constraint that the infected fraction of the population does never exceed a certain maximum corresponding to public health system capacity. Optimality is derived and verified by variational and numerical methods for a number of model cost functions. The effects of immune response decay after recovery are taken into account and discussed in terms of the feasibility of strategies based on herd immunity.