Issue |
Math. Model. Nat. Phenom.
Volume 14, Number 5, 2019
Nonlocal and delay equations
|
|
---|---|---|
Article Number | 505 | |
Number of page(s) | 22 | |
DOI | https://doi.org/10.1051/mmnp/2019048 | |
Published online | 05 December 2019 |
An infection age-space-structured SIR epidemic model with Dirichlet boundary condition
1
Laboratoire d’Analyse Nonlinéaire et Mathématiques Appliquées, University of Tlemcen,
Tlemcen
13000, Algeria.
2
Graduate School of System Informatics, Kobe University,
1-1 Rokkodai-cho,
Nada-ku,
Kobe
657-8501, Japan.
* Corresponding author: abdennasser.chekroun@gmail.com
Received:
29
April
2019
Accepted:
28
October
2019
In this paper, we are concerned with the global asymptotic behavior of an SIR epidemic model with infection age-space structure. Under the homogeneous Dirichlet boundary condition, we first reformulate the model into the coupled reaction-diffusion and difference system by using the method of characteristics. We then obtain the spatially heterogeneous disease-free steady state and define the basic reproduction number ℛ0 by the spectral radius of the next generation operator. We then show the existence and uniqueness of the global classical solution by constructing suitable upper and lower solutions. As a threshold result, we establish that the disease-free steady state is globally attractive if ℛ0 < 1, whereas the system is uniformly weakly persistent in norm if ℛ0 > 1. Finally, numerical simulations are exhibited to illustrate our theoretical results together with how to compute ℛ0.
Mathematics Subject Classification: 35K20 / 35Q92 / 92D30
Key words: SIR epidemic mode / infection age / diffusion / Dirichlet boundary condition / basic reproduction number
© EDP Sciences, 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.