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Stability analysis of a delayed sir epidemic model with diffusion and saturated incidence rate

Author

Listed:
  • Abdelhadi Abta

    (Cadi Ayyad University)

  • Salahaddine Boutayeb

    (Cadi Ayyad University)

  • Hassan Laarabi

    (Hassan II University)

  • Mostafa Rachik

    (Hassan II University)

  • Hamad Talibi Alaoui

    (Chouaib Doukkali University)

Abstract

In this paper, we investigate the effect of spatial diffusion and delay on the dynamical behavior of the SIR epidemic model. The introduction of the delay in this model makes it more realistic and modelizes the latency period. In addition, the consideration of an SIR model with diffusion aims to better understand the impact of the spatial heterogeneity of the environment and the movement of individuals on the persistence and extinction of disease. First, we determined a threshold value $$R_0$$ R 0 of the delayed SIR model with diffusion. Next, By using the theory of partial functional differential equations, we have shown that if $$R_0 1$$ R 0 > 1 , the disease-free equilibrium is unstable and there is a unique, asymptotically stable endemic equilibrium. Next, by constructing an appropriate Lyapunov function and using upper–lower solution method, we determine the threshold parameters which ensure the the global asymptotic stability of equilibria. Finally, we presented some numerical simulations to illustrate the theoretical results.

Suggested Citation

  • Abdelhadi Abta & Salahaddine Boutayeb & Hassan Laarabi & Mostafa Rachik & Hamad Talibi Alaoui, 2020. "Stability analysis of a delayed sir epidemic model with diffusion and saturated incidence rate," Partial Differential Equations and Applications, Springer, vol. 1(4), pages 1-25, August.
    • Handle: RePEc:spr:pardea:v:1:y:2020:i:4:d:10.1007_s42985-020-00015-1
    DOI: 10.1007/s42985-020-00015-1
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    Cited by:

    1. Bagheri, Safieh & Akrami, Mohammad Hossein & Loghmani, Ghasem Barid & Heydari, Mohammad, 2024. "Traveling wave in an eco-epidemiological model with diffusion and convex incidence rate: Dynamics and numerical simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 216(C), pages 347-366.

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