Controlling Epidemics Through Optimal Allocation of Test Kits and Vaccine Doses Across Networks
Controlling Epidemics Through Optimal Allocation of Test Kits and Vaccine Doses Across Networks
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DOI：
10.1109/tnse.2022.3144624
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发表时间：
2021-07
影响因子：
6.6
通讯作者：
Mingtao Xia;L. Böttcher;T. Chou
中科院分区：
文献类型：
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作者：
Mingtao Xia;L. Böttcher;T. Chou
有效的检测和疫苗接种方案是流行病管理的关键方面。为了研究在易感者、感染者和康复者相互作用的异构接触网络中有限检测和疫苗接种资源的优化分配，我们提出了一种基于程度的检测和疫苗接种模型，我们使用控制理论方法得出最佳策略。在我们的框架内，我们发现最优干预政策首先针对高度节点，然后以时间依赖的方式转向低度节点。使用这种最优政策，与统一和基于强化学习的干预措施相比，可以更大程度地延迟疫情爆发并降低发病率，特别是在某些无标度网络上。
Efficient testing and vaccination protocols are critical aspects of epidemic management. To study the optimal allocation of limited testing and vaccination resources in a heterogeneous contact network of interacting susceptible, infected, and recovered individuals, we present a degree-based testing and vaccination model for which we derive optimal policies using control-theoretic methods. Within our framework, we find that optimal intervention policies first target high-degree nodes before shifting to lower-degree nodes in a time-dependent manner. Using such optimal policies, it is possible to delay outbreaks and reduce incidence rates to a greater extent than uniform and reinforcement-learning-based interventions, particularly on certain scale-free networks.