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Periodic Orbits and Global Stability for a Discontinuous SIR Model with Delayed Control

  • Khalil, Muqbel [1] ; Vas Gabriella [1] ; Röst Gergely [1]
    1. [1] University of Szeged

      University of Szeged

      Hungría

  • Localización: Qualitative theory of dynamical systems, ISSN 1575-5460, Vol. 19, Nº 2, 2020
  • Idioma: inglés
  • DOI: 10.1007/s12346-020-00395-0
  • Enlaces
  • Resumen
    • We propose and analyse a mathematical model for infectious disease dynamics with a discontinuous control function, where the control is activated with some time lag after the density of the infected population reaches a threshold. The model is mathematically formulated as a delayed relay system, and the dynamics is determined by the switching between two vector fields (the so-called free and control systems) with a time delay with respect to a switching manifold. First we establish the usual threshold dynamics: when the basic reproduction number R0≤1, then the disease will be eradicated, while for R0>1 the disease persists in the population. Then, for R0>1, we divide the parameter domain into three regions, and prove results about the global dynamics of the switching system for each case: we find conditions for the global convergence to the endemic equilibrium of the free system, for the global convergence to the endemic equilibrium of the control system, and for the existence of periodic solutions that oscillate between the two sides of the switching manifold. The proof of the latter result is based on the construction of a suitable return map on a subset of the infinite dimensional phase space. Our results provide insight into disease management, by exploring the effect of the interplay of the control efficacy, the triggering threshold and the delay in implementation.

  • Referencias bibliográficas
    • 1. Arino, J., McCluskey, C.C.: Effect of a sharp change of the incidence function on the dynamics of a simple disease. J. Biol. Dyn. 4(5),...
    • 2. Korobeinikov, A., Wake, G.C.: Lyapunov functions and global stability for SIR, SIRS, and SIS epidemiological models. Appl. Math. Lett....
    • 3. LeBlanc, V.G.: A degenerate Hopf bifurcation in retarded functional differential equations, and applications to endemic bubbles. J. Nonlinear...
    • 4. Liu, M., Liz, E., Röst, G.: Endemic bubbles generated by delayed behavioral response: global stability and bifurcation switches in an SIS...
    • 5. Liu, M., Röst, G., Vas, G.: SIS model on homogeneous networks with threshold type delayed contact reduction. Comput. Math. Appl. 66(9),...
    • 6. Liu, X., Stechlinski, P.: Transmission dynamics of a switched multi-city model with transport-related infections. Nonlinear Anal. Real...
    • 7. Liu, X., Stechlinski, P.: Infectious Disease Modeling, a Hybrid System Approach, vol. 19. Springer, Berlin (2017)
    • 8. Muqbel, K., Dénes, A., Röst, G.: Optimal temporary vaccination strategies for epidemic outbreaks. In: Mondaini, R.P. (ed.) Trends in Biomathematics:...
    • 9. Sieber, J.: Dynamics of delayed relay systems. Nonlinearity 19(11), 2489 (2006)
    • 10. Smith, H.L., Thieme, H.R.: Dynamical Systems and Population Persistence, vol. 118. American Mathematical Society, Providence (2011)
    • 11. Wang, W.: Backward bifurcation of an epidemic model with treatment. Math. Biosci. 201(1–2), 58–71 (2006)
    • 12. Wang, A., Xiao, Y.: Sliding bifurcation and global dynamics of a Filippov epidemic model with vaccination. Int. J. Bifurcat. Chaos 23(08),...
    • 13. Xiao, Y., Xu, X., Tang, S.: Sliding mode control of outbreaks of emerging infectious diseases. Bull. Math. Biol. 74(10), 2403–2422 (2012)
    • 14. Wang, A., Xiao, Y., Smith, R.: Dynamics of a non-smooth epidemic model with three thresholds. Theor. Biosci. 137, 1–19 (2019)
    • 15. Wang, A., Xiao, Y., Zhu, H.: Dynamics of a Filippov epidemic model with limited hospital beds. Math. Biosci. Eng. 15(3), 739 (2017)
    • 16. Zhou, W., Xiao, Y., Heffernan, J.M.: A two-thresholds policy to interrupt transmission of West Nile Virus to birds. J. Theor. Biol. 463,...

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