Dynamics of diseases spreading on networks in the forms of reaction-diffusion systems

Gui-Quan Sun, Runzi He, Li-Feng Hou, Shupeng Gao, Xiaofeng Luo, Quanhui Liu, Yicheng Zhang, Lili Chang
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Abstract

In the face of persistent threats posed by infectious diseases, despite remarkable medical advancements, understanding and efficiently controlling their spatial spread through mathematical modeling remain imperative. Networked reaction-diffusion systems offer a promising avenue to effectively delineate population discrete distribution and individual movement heterogeneity. However, the dynamics of spatial diseases within these systems and the formulation of optimal control strategies are currently undergoing vigorous development. In this letter, we illustrate the dynamics of spatial disease spread in networked reaction-diffusion systems through the lens of optimal control, considering various network complexities from pairwise networks to higher-order networks. It then emphasizes their applicability in designing effective spatial disease control strategies across diverse network complexities. Finally, we discuss the existing challenges.
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反应扩散系统形式的疾病网络传播动力学
面对传染病带来的持续威胁,尽管医学发展突飞猛进,但通过数学建模了解并有效控制传染病的空间传播仍然势在必行。网络化反应扩散系统为有效划分人群离散分布和个体运动异质性提供了一条前景广阔的途径。然而,这些系统中的空间疾病动力学和优化控制策略的制定目前正处于蓬勃发展阶段。在这封信中,我们从最优控制的角度,考虑了从成对网络到高阶网络的各种网络复杂性,阐述了网络化反应扩散系统中的空间疾病传播动力学。然后强调了它们在设计不同网络复杂性的有效空间疾病控制策略中的适用性。最后,我们讨论了现有的挑战。
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