Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/56208
Title: | Long-time dynamics of an epidemic model with nonlocal diffusion and free boundaries |
Contributor(s): | Chang, Ting-Ying (author) ; Du, Yihong (author) |
Publication Date: | 2022-01-04 |
Open Access: | Yes |
DOI: | 10.3934/era.2022016 |
Handle Link: | https://hdl.handle.net/1959.11/56208 |
Abstract: | | In this paper, we consider a reaction-diffusion epidemic model with nonlocal diffusion and free boundaries, which generalises the free-boundary epidemic model by Zhao et al. [1] by including spatial mobility of the infective host population. We obtain a rather complete description of the longtime dynamics of the model. For the reproduction number R0 arising from the corresponding ODE model, we establish its relationship to the spreading-vanishing dichotomy via an associated eigenvalue problem. If R0 ≤ 1, we prove that the epidemic vanishes eventually. On the other hand, if R0 > 1, we show that either spreading or vanishing may occur depending on its initial size. In the case of spreading, we make use of recent general results by Du and Ni [2] to show that finite speed or accelerated spreading occurs depending on whether a threshold condition is satisfied by the kernel functions in the nonlocal diffusion operators. In particular, the rate of accelerated spreading is determined for a general class of kernel functions. Our results indicate that, with all other factors fixed, the chance of successful spreading of the disease is increased when the mobility of the infective host is decreased, reaching a maximum when such mobility is 0 (which is the situation considered by Zhao et al. [1]).
Publication Type: | Journal Article |
Grant Details: | ARC/DP190103757 |
Source of Publication: | Electronic Research Archive, 30(1), p. 289-313 |
Publisher: | AIMS Press |
Place of Publication: | United States of America |
ISSN: | 2688-1594 |
Fields of Research (FoR) 2020: | 490410 Partial differential equations 490105 Dynamical systems in applications |
Socio-Economic Objective (SEO) 2020: | 280118 Expanding knowledge in the mathematical sciences |
Peer Reviewed: | Yes |
HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
Publisher/associated links: | http://www.aimspress.com/article/doi/10.3934/era.2022016 |
Appears in Collections: | Journal Article School of Science and Technology
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