Ecole des Hautes Etudes en Sciences Sociales, CNRS, Centre d'Analyse et Mathématiques Sociales, 54 boulevard Raspail, 75006, Paris, France.
HKUST Jockey Club Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.
Bull Math Biol. 2020 Dec 14;83(1):2. doi: 10.1007/s11538-020-00826-8.
It has long been known that epidemics can travel along communication lines, such as roads. In the current COVID-19 epidemic, it has been observed that major roads have enhanced its propagation in Italy. We propose a new simple model of propagation of epidemics which exhibits this effect and allows for a quantitative analysis. The model consists of a classical SIR model with diffusion, to which an additional compartment is added, formed by the infected individuals travelling on a line of fast diffusion. The line and the domain interact by constant exchanges of populations. A classical transformation allows us to reduce the proposed model to a system analogous to one we had previously introduced Berestycki et al. (J Math Biol 66:743-766, 2013) to describe the enhancement of biological invasions by lines of fast diffusion. We establish the existence of a minimal spreading speed, and we show that it may be quite large, even when the basic reproduction number [Formula: see text] is close to 1. We also prove here further qualitative features of the final state, showing the influence of the line.
长期以来,人们已经知道传染病可以沿着交通线传播,例如道路。在当前的 COVID-19 疫情中,人们观察到主要道路促进了意大利的传播。我们提出了一种新的传染病传播的简单模型,该模型展示了这种效果,并允许进行定量分析。该模型由具有扩散的经典 SIR 模型组成,其中添加了一个附加的隔间,由在线快速扩散的感染者组成。线和域通过人口的恒定交换相互作用。经典的变换允许我们将所提出的模型简化为类似于我们之前介绍的系统 Berestycki 等人(J Math Biol 66:743-766, 2013),以描述由快速扩散线增强生物入侵。我们确定了最小传播速度的存在性,并表明即使基本繁殖数[公式:见文本]接近 1,它也可能非常大。我们还在这里证明了最终状态的进一步定性特征,显示了线的影响。