STABILITY ANALYSIS OF A DELAYED FRACTIONAL
ORDER SIRS EPIDEMIC MODEL WITH
NONLINEAR INCIDENCE RATE

Abstract

In this paper, we study the stability of a fractional order SIRS epidemic model with nonlinear incidence rate and time delay, where the fractional derivative is defined in the Caputo sense. The delay is introduced into the model in order to modeled the incubation period. Using the stability analysis of delayed fractional order systems, we prove that the disease-free equilibrium is locally asymptotically stable when the basic reproduction number $R_{0}<1$. Also, we show that if $R_{0}>1$, the endemic equilibrium is locally asymptotically stable.

Citation details of the article



Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 32
Issue: 5
Year: 2019

DOI: 10.12732/ijam.v32i5.1

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References

  1. [1] A. Korobeinikov, Lyapunov functions and global stability for SIR and SIRS epidemiologcal models with non-linear transmission, Bull. Math. Biol., 68, No 3 (2006), 615-626.
  2. [2] G. Zaman, Y. Kang, I.H. Jung, Stability analysis and optimal vaccination of an SIR epidemic model, Biosyst., 93, No 3 (2008), 240-249.
  3. [3] L.H. Zhou, M. Fan, Dynamics of an SIR epidemic model with limited medical resources revisited, Nonlinear Anal. Real World Appl., 13, No 1 (2012), 312-324.
  4. [4] X.B. Liu, L.J. Yang, Stability analysis of an SEIQV epidemic model with saturated incidence rate, Nonlinear Anal. Real World Appl., 13, No 6 (2012), 2671-2679.
  5. [5] H.F. Huo, G.M. Qiu, Stability of a mathematical model of malaria transmission with relapse, Abstract and Applied Analysis, 2014 (2014), Art. ID 289349.
  6. [6] X. Zhang, K. Wang, Stochastic SIR model with jumps, Appl. Math. Lett., 26, No 8 (2013), 867-874.
  7. [7] C. Zhu, G. Zeng, Y. Sun, The threshold of a stochastic SIRS model with vertical transmission and saturated incidence, Disc. Dyn. Nat. Soc., 2017 (2017), Art. ID 5620301.
  8. [8] M. Naim, F. Lahmidi, A. Namir, Extinction and persistence of a stochastic SIS epidemic model with vertical transmission, specific functional response and L´evy jumps, Commun. Math. Biol. Neurosc., 2019 (2019), Art. ID 15.
  9. [9] I. Podlubny, Fractional-order systems and PIDμ controllers, IEEE Trans. Autom. Control, 44, No 1 (1999), 208-214.
  10. [10] L.M. Petrovic, D.T. Spasic, T.M. Atanackovic, On a mathematical model of a human root dentin, Dental Materials, 21, No 2 (2005), 125-128.
  11. [11] I.S. Jesus, J.A.T. Machado, J.B. Cunha, Fractional electrical impedances in botanical elements, J. of Vibration and Control, 14, No 9-10 (2008), 1389-1402.
  12. [12] G.L. Jia, Y. X. Ming, Study on the viscoelasticity of cancellous bone based on higher-order fractional models, In: Proc. of 2nd Internat. Conf. on Bioinformatics and Biomedical Engineering, iCBBE (2008), 1733-1736.
  13. [13] J. Korbel, Y. Luchko, Modelling of financial processes with a space-time fractional diffusion equation of varying order, Fract. Calc. Appl. Anal., 19, No 6 (2016), 1414-1433.
  14. [14] I. Ameen, P. Novati, The solution of fractional order epidemic model by implicit Adams methods, Applied Math. Modelling, 43 (2017), 78-84.
  15. [15] H.A.A. El-Saka, The fractional-order SIR and SIRS epidemic models with variable population size, Math. Sci. Lett., 2, No 3 (2013), 195-200.
  16. [16] H.A.A. El-Saka, The fractional-order SIS epidemic model with variable population size, J. of the Egyptian Math. Soc., 22, No 1 (2014), 50-54.
  17. [17] A.M. Yousef, S.M. Salman, Backward bifurcation in a fractional-order SIRS epidemic model with a nonlinear incidence rate, IJNSNS, 17, No 7-8 (2016), 401-412.
  18. [18] D. Rostamy, E. Mottaghi, Forward and backward Bifurcation in a fractional-order SIR epidemic model with vaccination, Iranian J. of Science & Technology, 42, No 2 (2018), 663-671.
  19. [19] X.Wang, Z.Wang, X. Huang, Y. Li, Dynamic analysis of a fractional-order delayed SIR model with saturated incidence and treatment functions, Int. J. Bifurc. Chaos, 28, No 14 (2018), 1850180.
  20. [20] K. Hattaf, N. Yousfi, A. Tridane, Stability analysis of a virus dynamics model with general incidence rate and two delays, Appl. Math. Comput., 221 (2013), 514-521.
  21. [21] I. Podlubny, Fractional Differential Equations, Academic Press, San Diego etc. (1999).
  22. [22] I. Petras, Fractional-Order Nonlinear Systems: Modeling, Analysis and Simulation, Springer (2011).
  23. [23] W. Deng, C. Li, J. Lu, Stability analysis of linear fractional differential system with multiple time delays, Nonlinear Dyn., 48, No 4 (2007), 409416.
  24. [24] H. Wang, Y. Yu, G. Wen, S. Zhang, Stability analysis of fractional-order neural networks with time delay, Neural Process. Lett., 42, No 2 (2015), 479-500.
  25. [25] O. Diekmann, J.A.P. Heesterbeek, Mathematical Epidemiology of Infectious Diseases, John Wiley & Sons, New York (2000).