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Hopf bifurcation and stability for an SIRS epidemic model incorporating immune waning, logistic growth and saturated treatment

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  • Li, Jinhui
  • Teng, Zhidong

Abstract

We propose a delayed SIRS (Susceptible–Infected–Recovered–Susceptible) epidemic model incorporating the temporary immunity delay, logical growth rate of the total population as recruitment rate of susceptible individuals, general nonlinear incidence function, and Holling-II type saturated treatment. The model admits both disease-free and endemic equilibria, and backward bifurcation is shown to occur under certain parameter conditions. Using geometric approaches based on the second compound matrix, we establish the global stability of the endemic equilibrium in the delay-free case. Taking the immune waning delay as the bifurcation parameter, we analyze the existence, direction, and stability of both local and global Hopf bifurcation via normal form theory, the center manifold theorem, and a global Hopf bifurcation theorem. Numerical simulations reveal that both the carrying capacity and treatment resource parameters can induce backward bifurcation, whereas the saturation parameter of treatment may give rise to an endemic bubble. Furthermore, periodic solutions emerging from Hopf bifurcation and stability switches under different incidence functions are demonstrated. In addition, chaotic dynamics are also observed.

Suggested Citation

  • Li, Jinhui & Teng, Zhidong, 2026. "Hopf bifurcation and stability for an SIRS epidemic model incorporating immune waning, logistic growth and saturated treatment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 247(C), pages 758-784.
  • Handle: RePEc:eee:matcom:v:247:y:2026:i:c:p:758-784
    DOI: 10.1016/j.matcom.2026.04.004
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    References listed on IDEAS

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    1. Xu, Rui & Wang, Zhili & Zhang, Fengqin, 2015. "Global stability and Hopf bifurcations of an SEIR epidemiological model with logistic growth and time delay," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 332-342.
    2. Gupta, R.P. & Kumar, Arun, 2022. "Endemic bubble and multiple cusps generated by saturated treatment of an SIR model through Hopf and Bogdanov–Takens bifurcations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 197(C), pages 1-21.
    3. Zhang, Zizhen & Kundu, Soumen & Tripathi, Jai Prakash & Bugalia, Sarita, 2020. "Stability and Hopf bifurcation analysis of an SVEIR epidemic model with vaccination and multiple time delays," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    4. Li, Jinhui & Teng, Zhidong & Wang, Guangqing & Zhang, Long & Hu, Cheng, 2017. "Stability and bifurcation analysis of an SIR epidemic model with logistic growth and saturated treatment," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 63-71.
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