Skip to main content
Log in

Relaxation Oscillation and Canard Explosion for a SIRS Model with Nonlinear Incidence Rate

  • Published:
Qualitative Theory of Dynamical Systems Aims and scope Submit manuscript

Abstract

In this paper, we study a susceptible-infectious-recovered model with a nonlinear incidence rate. Assume that the infected individual has large immunity failure rate, then it becomes a slow–fast system. Using geometry singular perturbation theory, we revealed that it exhibits rich dynamics, such as supercritical Hopf bifurcation, canard explosion and relaxation oscillation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Capasso, V., Serio, G.: A generalization of the Kermack-McKendrick deterministic epidemic model. Math. Biosci. 42, 43–61 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  2. De Maesschalck, P., Dumortier, F., Roussarie, R.: Canard cycle transition at a slow–fast passage through a jump point. CR. Math. Acad. Sci. Paris. 352, 317–320 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  3. Hu, Z., Bi, P., Ma, W., Ruan, S.: Bifurcations of an SIRS epidemic model with nonlinear incidence rate. Discrete Contin. Dyn. Syst. Ser. B. 15(1), 93 (2011)

    MathSciNet  MATH  Google Scholar 

  4. Kermack, W.O., McKendrick, A.G.: A contribution to the mathematical theory of epidemics. Proc. R. Soc. Lond. Ser. A. 115, 700–721 (1927)

    Article  MATH  Google Scholar 

  5. Krupa, M., Szmolyan, P.: Extending geometric singular perturbation theory to nonhyperbolic points—fold and canard points in two dimensions. SIAM. J. Math. Anal. 33, 286–314 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  6. Krupa, M., Szmolyan, P.: Relaxation oscillation and canard explosion. J. Differ. Equ. 174, 312–368 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  7. Li, C., Li, J., Ma, Z., Zhu, H.: Canard phenomenon for an SIS epidemic model with nonlinear incidence. J. Math. Anal. Appl. 420, 987–1004 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  8. Li, C., Lu, K.: Slow divergence integral and its application to classical Linard equations of degree 5. J. Differ. Equ. 257, 4437–4469 (2014)

    Article  MATH  Google Scholar 

  9. Li, J., Zhou, Y., Wu, J., Ma, Z.: Complex dynamics of a simple epidemic model with a nonlinear incidence. Discrete Contin. Dyn. Syst. Ser. B. 8, 161 (2007)

    MathSciNet  MATH  Google Scholar 

  10. Li, S., Wang, C., Wu, K.: Relaxation oscillations of a slow–fast predator–prey model with a piecewise smooth functional response. Appl. Math. Lett. 113, 106852 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  11. Liu, W., Hethcote, H.W., Levin, S.A.: Dynamical behavior of epidemiological models with nonlinear incidence rates. J. Math. Biol. 25, 359–380 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  12. Liu, W., Levin, S.A., Iwasa, Y.: Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models. J. Math. Biol. 23, 187–204 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  13. Ruan, S., Wang, W.: Dynamical behavior of an epidemic model with a nonlinear incidence rate. J. Differ. Equ. 188, 135–163 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  14. van den Driessche, P., Watmough, J.: A simple SIS epidemic model with a backward bifurcation. J. Math. Biol. 40, 525–540 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  15. Wang, C., Zhang, X.: Relaxation oscillations in a slow–fast modified Leslie–Gower model. Appl. Math. Lett. 87, 147–153 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  16. Xiao, D., Ruan, S.: Global analysis of an epidemic model with nonmonotone incidence rate. Math. Biosci. 208, 419–429 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  17. Xiao, D., Zhou, Y.: Qualitative analysis of an epidemic model. Can. Appl. Math. Q. 14, 469–492 (2006)

    MathSciNet  MATH  Google Scholar 

  18. Zhang, Y., Zhou, Y., Tang, B.: Canard phenomenon in an SIRS epidemic model with nonlinear incidence rate. Int. J. Bifurc. Chaos. Appl. Sci Engry. Internat. 30, 2050073 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  19. Zhou, Y., Xiao, D., Li, Y.: Bifurcations of an epidemic model with non-monotonic incidence rate of saturated mass action. Chaos Soitions Fractals 32(5), 1903–1915 (2007)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

We thank the reviews for their valuable comments and suggestions that helped us to improve the presentation of our paper. This work supported by NNSF of China (No. 12071091) and the Natural Science Foundation of Guangdong Province, P.R. China (No. 2019A1515011885).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Li Shimin.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xiaoling, W., Shimin, L. Relaxation Oscillation and Canard Explosion for a SIRS Model with Nonlinear Incidence Rate. Qual. Theory Dyn. Syst. 21, 134 (2022). https://doi.org/10.1007/s12346-022-00663-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12346-022-00663-1

Keywords

Navigation