Spatial propagation phenomena for diffusive SIS epidemic models

被引:0
作者
Zhang, Liang [1 ]
Wang, Zhi-Cheng [1 ]
机构
[1] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Gansu, Peoples R China
关键词
Asymptotic speed of spread; Minimal speed; Diffusive SIS epidemic model; Weak dissipativity; Uniform persistence; TRAVELING-WAVE SOLUTIONS; ASYMPTOTIC SPEEDS; GLOBAL STABILITY; SPREADING SPEEDS; SYSTEMS; SIRS;
D O I
10.1016/j.jde.2024.12.039
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper is concerned with the propagation phenomena for a class of susceptible-infected-susceptible (SIS) epidemic reaction-diffusion model with two different kinds of incidence posed on an unbounded domain. The main difficulty of such model system is the lack of comparison principle because it shares a similar structure to the predator-prey system. Additionally, compared with S-I type disease-transmission models, the cyclic structure involved in SIS models contributes to extra difficulties in the analysis. This means that the techniques accessible to diffusive S-I type models or classic predator-prey like system cannot be directly applied to the current model. The first goal of this paper is to show how the localized initial introductions of infective behave spatially and then the asymptotic speed of spread for the infection is derived from the model with separable incidence (e.g., mass-action mechanism) based on the weak dissipativity and uniform persistence idea on dynamical system. In the case where the standard incidence is taken into consideration, the existence of the asymptotic speed of spread and the full information on the traveling wave solutions are presented. Unlike the S-I type epidemic models with standard incidence, the uniform boundedness of solutions for the current Cauchy problem is not readily available due to the constraint from the cyclic structure. The construction of an appropriate invariant set is adopted to obtain the uniform boundedness. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:240 / 285
页数:46
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