Skip to main content

Rate-Induced Tipping Phenomena in Compartment Models of Epidemics

  • Chapter
  • First Online:
Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact

Part of the book series: Infosys Science Foundation Series ((ISFM))

Abstract

The aim of this chapter is to explore non-autonomous compartment models of epidemics, like, e.g., SIR models with time-dependent transmission and recovery rates as parameters, and particularly the occurrence of rate-induced tipping phenomena. Specifically, we are interested in the question, whether there can exist parameter paths that do not cross any bifurcation points, but yet give rise to tipping if the parameters vary over time. From literature, it is known that such rate-induced tipping occurs, e.g., in two-dimensional models of ecosystems or predator–prey systems. We show in this chapter that rate-induced tipping can also occur in compartment models of epidemics. Thus, regarding the Covid-19 crisis, not only the measures established in a lockdown and the moment of the lockdown, but also the rate by which lockdown measures are implemented may have a drastic influence on the number of infectious.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 79.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Hethcote, H.W.: The mathematics of infectious diseases. SIAM Rev 42, 599–653 (2000)

    Article  MathSciNet  Google Scholar 

  2. Smith, R.: Modeling Disease Ecology with Mathematics. AIMS Series in Differential Equations & Dynamical Systems, vol. 2 (2008)

    Google Scholar 

  3. Brauer, F., Castillo-Chavez, C.: Mathematical Models in Population Biology and Epidemiology. Springer, New York (2012)

    Book  Google Scholar 

  4. Kloeden, P., Rasmussen, M.: Nonautonomous Dynamical Systems. AMS Mathematical Surveys and Monographs, vol. 176 (2011)

    Google Scholar 

  5. Chen, Y.-C., Lu, P.-E., Chang, C.-S., Liu, T.-H.: A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons. arXiv:2003.00122

  6. Kaszás, B., Feudel, U., Tél, T.: Tipping phenomena in typical dynamical systems subjected to parameter drift. Sci. Rep. (2019). https://doi.org/10.1038/s41598-019-44863-3

  7. O’Keeffe, P.E., Wieczorek, S.: Tipping phenomena and points of no return in ecosystems: beyond classical bifurcations. arXiv:1902.01796

  8. Vanselow, A., Wieczorek, S., Feudel, U.: When very slow is too fast—collapse of a predator-prey system. J. Theor. Biol. 479, 64–72 (2019)

    Article  MathSciNet  Google Scholar 

  9. Ashwin, P., Perryman, C., Wieczorek, S.: Parameter shifts for nonautonomous systems in low dimension: Bifurcation- and Rate-induced tipping

    Google Scholar 

  10. Kermack, W.O., McKendrick, A.G.: Contributions to the mathematical theory of epidemics I. Proc. R. Soc. A 115, 700–721 (1927)

    MATH  Google Scholar 

  11. Kermack, W.O., McKendrick, A.G.: Contribution to the mathematical theory of epidemics II. Proc. R. Soc. A 138, 55–83 (1932)

    MATH  Google Scholar 

  12. Kermack, W.O., McKendrick, A.G.: Contributions to the mathematical theory of epidemics III. Proc. R. Soc. A 141, 94–122

    Google Scholar 

  13. Ross, R., Hudson, H.P.: An application of the theory of probabilities to the study of a priori pathometry II. Proc. R. Soc. A 92, 204–230 (1916)

    MATH  Google Scholar 

  14. Ross, R., Hudson, H.P.: An application of the theory of probabilities to the study of a priori pathometry II. Proc. R. Soc. A 93, 212–225 (1917)

    MATH  Google Scholar 

  15. Ross, R., Hudson, H.P.: An application of the theory of probabilities to the study of a priori pathometry III. Proc. R. Soc. A 93, 225–240 (1917)

    MATH  Google Scholar 

  16. Ashwin, P., Wieczorek, S., Vitolo, R., Cox, P.: Tipping points in open systems: bifurcation, noise-induced and rate-dependent examples in the climate system. Phil. Trans. R. Soc. A 370, 1166–1184 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jochen Merker .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Merker, J., Kunsch, B. (2021). Rate-Induced Tipping Phenomena in Compartment Models of Epidemics. In: Agarwal, P., Nieto, J.J., Ruzhansky, M., Torres, D.F.M. (eds) Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact. Infosys Science Foundation Series(). Springer, Singapore. https://doi.org/10.1007/978-981-16-2450-6_14

Download citation

Publish with us

Policies and ethics