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The Hopf Bifurcation Analysis and Optimal Control of a Delayed SIR Epidemic Model

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  • Abdelhadi Abta
  • Hassan Laarabi
  • Hamad Talibi Alaoui

Abstract

We propose a delayed SIR model with saturated incidence rate. The delay is incorporated into the model in order to model the latent period. The basic reproductive number is obtained. Furthermore, using time delay as a bifurcation parameter, it is proven that there exists a critical value of delay for the stability of diseases prevalence. When the delay exceeds the critical value, the system loses its stability and a Hopf bifurcation occurs. The model is extended to assess the impact of some control measures, by reformulating the model as an optimal control problem with vaccination and treatment. The existence of the optimal control is also proved. Finally, some numerical simulations are performed to verify the theoretical analysis.

Suggested Citation

  • Abdelhadi Abta & Hassan Laarabi & Hamad Talibi Alaoui, 2014. "The Hopf Bifurcation Analysis and Optimal Control of a Delayed SIR Epidemic Model," International Journal of Analysis, Hindawi, vol. 2014, pages 1-10, May.
    • Handle: RePEc:hin:ijanal:940819
    DOI: 10.1155/2014/940819
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    Cited by:

    1. Higazy, M., 2020. "Novel fractional order SIDARTHE mathematical model of COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).

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