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Traveling waves for a nonlocal dispersal SIR epidemic model with the mass action infection mechanism
  • Xin Wu,
  • Zhaohai Ma
Xin Wu
East China Jiao Tong University

Corresponding Author:[email protected]

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Zhaohai Ma
China University of Geosciences Beijing
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Abstract

This paper is concerned with a nonlocal dispersal susceptible–infected–recovered (SIR) epidemic model adopted with the mass action infection mechanism. We mainly study the existence and non-existence of traveling waves connecting the infection-free equilibrium state and the endemic equilibrium state. The main difficulties lie in the fact that the semiflow generated here does not admit the order-preserving property. Meanwhile, this new model brings some new challenges due to the unboundedness of the nonlinear term. We overcome these difficulties to obtain the boundedness of traveling waves with the speed $c>c_{\min}$ by some analysis techniques firstly and then prove the existence of traveling waves by employing Lyapunov–LaSalle theorem and Lebesgue dominated convergence theorem. By utilizing a approximating method, we study the existence of traveling waves with the critical wave speed $c_{\min}$. Our results on this new model may provide some implications on disease modelling and controls.
11 Apr 2021Submitted to Mathematical Methods in the Applied Sciences
12 Apr 2021Submission Checks Completed
12 Apr 2021Assigned to Editor
08 Jul 2021Reviewer(s) Assigned
09 Oct 2022Review(s) Completed, Editorial Evaluation Pending
16 Mar 2023Editorial Decision: Revise Major
22 Mar 20231st Revision Received
22 Mar 2023Submission Checks Completed
22 Mar 2023Assigned to Editor
22 Mar 2023Review(s) Completed, Editorial Evaluation Pending
25 Mar 2023Reviewer(s) Assigned
05 Apr 2023Editorial Decision: Revise Major
10 Apr 20232nd Revision Received
11 Apr 2023Submission Checks Completed
11 Apr 2023Assigned to Editor
11 Apr 2023Review(s) Completed, Editorial Evaluation Pending
17 Apr 2023Reviewer(s) Assigned
04 May 2023Editorial Decision: Revise Minor
15 May 20233rd Revision Received
17 May 2023Submission Checks Completed
17 May 2023Assigned to Editor
17 May 2023Review(s) Completed, Editorial Evaluation Pending
22 May 2023Reviewer(s) Assigned
13 Jul 2023Editorial Decision: Accept