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Global dynamics and threshold behavior of an SEIR epidemic model with nonlocal diffusion

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  • Dey, Subir
  • Kar, Tapan Kumar
  • Kuniya, Toshikazu

Abstract

This paper studies the global dynamics of an SEIR (Susceptible–Exposed–Infectious–Recovered) model with nonlocal diffusion. We show the model’s well-posedness, proving the solutions’ existence, uniqueness, and positivity, along with a disease-free equilibrium. Next, we prove that the model admits the global threshold dynamics in terms of the basic reproduction number R0, defined as the spectral radius of the next-generation operator. We show that the solution map has a global compact attractor, offering insights into long-term dynamics. In particular, the analysis shows that for R0<1, the disease-free equilibrium is globally stable. Using the persistence theory, we show that there is an endemic equilibrium point for R0>1. Moreover, by constructing an appropriate Lyapunov function, we establish the global stability of the unique endemic equilibrium in two distinct scenarios.

Suggested Citation

  • Dey, Subir & Kar, Tapan Kumar & Kuniya, Toshikazu, 2024. "Global dynamics and threshold behavior of an SEIR epidemic model with nonlocal diffusion," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 226(C), pages 91-117.
  • Handle: RePEc:eee:matcom:v:226:y:2024:i:c:p:91-117
    DOI: 10.1016/j.matcom.2024.07.002
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    References listed on IDEAS

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    1. Bentout, Soufiane & Djilali, Salih, 2023. "Asymptotic profiles of a nonlocal dispersal SIR epidemic model with treat-age in a heterogeneous environment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 926-956.
    2. Carol Y. Lin, 2008. "Modeling Infectious Diseases in Humans and Animals by KEELING, M. J. and ROHANI, P," Biometrics, The International Biometric Society, vol. 64(3), pages 993-993, September.
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