Skip to main content

Advertisement

Log in

A mathematical and numerical study of a SIR epidemic model with time delay, nonlinear incidence and treatment rates

  • Original Article
  • Published:
Theory in Biosciences Aims and scope Submit manuscript

Abstract

A novel nonlinear time-delayed susceptible–infected–recovered epidemic model with Beddington–DeAngelis-type incidence rate and saturated functional-type treatment rate is proposed and analyzed mathematically and numerically to control the spread of epidemic in the society. Analytical study of the model shows that it has two equilibrium points: disease-free equilibrium (DFE) and endemic equilibrium (EE). The stability of the model at DFE is discussed with the help of basic reproduction number, denoted by \({R_0}\), and it is shown that if the basic reproduction number \({R_0}\) is less than one, the DFE is locally asymptotically stable and unstable if \({R_0}\) is greater than one. The stability of the model at DFE for \({R_0}=1\) is analyzed using center manifold theory and Castillo-Chavez and Song theorem which reveals a forward bifurcation. We also derived the conditions for the stability and occurrence of Hopf bifurcation of the model at endemic equilibrium. Further, to illustrate the analytical results, the model is simulated numerically.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Anderson RM, May RM (1978) Regulation and stability of host-parasite population. Interactions: I. Regulatory processes. J Anim Ecol 47:219–267

    Article  Google Scholar 

  • Anderson RM, May RM (1992) Infectious diseases of humans: dynamics and control. Oxford University Press, Oxford

    Google Scholar 

  • Bailey NTJ (1975) The mathematical theory of infectious diseases and its applications. Griffin, London

    Google Scholar 

  • Beddington JR (1975) Mutual interference between parasites or predators and its effect on searching efficiency. J Anim Ecol 44:331–340

    Article  Google Scholar 

  • Brauer F, Castillo-Chavez C (2001) Mathematical models in population biology and epidemiology. Springer, New York

    Book  Google Scholar 

  • Capasso V, Serio G (1978) A generalization of the Kermack–Mckendrick deterministic epidemic model. Math Biosci 42(1–2):43–61

    Article  Google Scholar 

  • Castillo-Chavez C, Song B (2004) Dynamical models of tuberculosis and their applications. Math Biosci Eng 1(2):361–404

    Article  PubMed  Google Scholar 

  • DeAngelis DL, Goldstein RA, O’Neill RV (1975) A model for tropic interaction. Ecology 56:881–892

    Article  Google Scholar 

  • Dubey B, Patra A, Srivastava PK, Dubey US (2013) Modeling and analysis of an SEIR model with different types of nonlinear treatment rates. J Biol Syst 21(03):1350023

    Article  Google Scholar 

  • Dubey B, Dubey P, Dubey US (2015) Dynamics of an SIR model with nonlinear incidence and treatment rate. Appl Appl Math 10(2):718–737

    Google Scholar 

  • Dubey P, Dubey B, Dubey US (2016) An SIR model with nonlinear incidence rate and Holling type III treatment rate. In: Cushing J, Saleem M, Srivastava H, Khan M, Merajuddin M (eds) Applied analysis in biological and physical sciences. Springer proceedings in mathematics and statistics, vol 186. Springer, New Delhi, pp 63–81

    Google Scholar 

  • Elaiw AM, Azoz SA (2013) Global properties of a class of HIV infection models with Beddington–DeAngelis functional response. Math Methods Appl Sci 36:383–394

    Article  Google Scholar 

  • Gumel AB, McCluskey CC, Watmough J (2007) An SVEIR model for assessing potential impact of an imperfect anti-SARS vaccine. Math Biosci Eng 3(3):485–512

    Google Scholar 

  • Hattaf K, Lashari AA, Louartassi Y, Yousfi N (2013) A delayed SIR epidemic model with general incidence rate. Electron J Qual Theory Differ Equ 3:1–9

    Article  Google Scholar 

  • Hethcote HW, van den Driessche P (1995) An SIS epidemic model with variable population size and a delay. J Math Biol 34(2):177–194

    Article  CAS  PubMed  Google Scholar 

  • Kaddar A (2010) Stability analysis in a delayed SIR epidemic model with a saturated incidence rate. Nonlinear Anal Model Control 15:299–306

    Article  Google Scholar 

  • Kermack WO, McKendrick AG (1927) A contribution to the mathematical theory of epidemics. Proc R Soc Lond A 115:700–721

    Article  Google Scholar 

  • Korobeinikov A (2007) Global properties of infectious disease models with nonlinear incidence. Bull Math Biol 69(6):1871–1886

    Article  PubMed  Google Scholar 

  • Korobeinikov A, Maini PK (2005) Nonlinear incidence and stability of infectious disease models. Math Med Biol 22:113–128

    Article  PubMed  Google Scholar 

  • Kuang Y (1993) Delay differential equations with applications in population dynamics. Academic Press, Boston

    Google Scholar 

  • Kumar A, Nilam (2018a) Stability of a time delayed SIR epidemic model along with nonlinear incidence rate and Holling type-II treatment rate. Int J Comput Methods 15(6):1850055

    Article  Google Scholar 

  • Kumar A, Nilam (2018b) Dynamical model of epidemic along with time delay: Holling type II incidence rate and Monod–Haldane type treatment rate. Differ Equ Dyn Syst. https://doi.org/10.1007/s12591-018-0424-8

    Article  Google Scholar 

  • Li MY, Muldowney JS (1995) Global stability for the SEIR model in epidemiology. Math Biosci 125:155–164

    Article  CAS  PubMed  Google Scholar 

  • Li X, Li W, Ghosh M (2009) Stability and bifurcation of an SIR epidemic model with nonlinear incidence and treatment. Appl Math Comput 210:141–150

    Google Scholar 

  • McCluskey CC (2010) Global stability for an SIR epidemic model with delay and nonlinear incidence. Nonlinear Anal RWA 11(4):3106–3109

    Article  Google Scholar 

  • Mena-Lorca J, Hethcote HW (1992) Dynamic models of infectious disease as regulators of population size. J Math Biol 30(7):693–716

    CAS  PubMed  Google Scholar 

  • Mukherjee D (1996) Stability analysis of an S-I epidemic model with time delay. Math Comput Model 24(9):63–68

    Article  Google Scholar 

  • Ruan S, Wei J (2003) On the zeros of transcendental functions with applications to stability of delay differential equations with two delays. Dyn Contin Discrete Impuls Syst Ser A 10:863–874

    Google Scholar 

  • Sastry S (1999) Analysis, stability and control. Springer, New York

    Google Scholar 

  • Song X, Cheng S (2005) A delay-differential equation model of HIV infection of CD4+ T-cells. J Korean Math Soc 42(5):1071–1086

    Article  Google Scholar 

  • Tipsri S, Chinviriyasit W (2014) Stability analysis of SEIR model with saturated incidence and time delay. Int J Appl Phys Math 4(1):42–45

    Article  Google Scholar 

  • Van den Driessche P, Watmough J (2002) Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math Biosci 180:29–48

    Article  PubMed  Google Scholar 

  • Wang X (2004) A simple proof of Descartes’s rule of signs. Am Math Mon. https://doi.org/10.2307/4145072

    Article  Google Scholar 

  • Wang W (2006) Backward bifurcation of an epidemic model with treatment. Math Biosci 201(1):58–71 pmid:16466756

    Article  PubMed  Google Scholar 

  • Wang W, Ruan S (2004) Bifurcations in an epidemic model with constant removal rate of the infectives. J Math Anal Appl 291(2):775–793

    Article  Google Scholar 

  • Wei C, Chen L (2008) A delayed epidemic model with pulse vaccination. Discrete Dyn Nat Soc. https://doi.org/10.1155/2008/746951

    Article  Google Scholar 

  • Xu R, Ma Z (2009a) Global stability of a SIR epidemic model with nonlinear incidence rate and time delay. Nonlinear Anal RWA 10(5):3175–3189

    Article  Google Scholar 

  • Xu R, Ma Z (2009b) Stability of a delayed SIRS epidemic model with a nonlinear incidence rate. Chaos Solitons Fractals 41(5):2319–2325

    Article  Google Scholar 

  • Yang M, Sun F (2015) Global stability of SIR models with nonlinear Incidence and discontinuous treatment. Electron J Differ Equ 2015(304):1–8

    Article  CAS  Google Scholar 

  • Zhang JZ, Jin Z, Liu QX, Zhang ZY (2008) Analysis of a delayed SIR model with nonlinear incidence rate. Discrete Dyn Nat Soc. https://doi.org/10.1155/2008/636153

    Article  Google Scholar 

  • Zhang Z, Suo S (2010) Qualitative analysis of an SIR epidemic model with saturated treatment rate. J Appl Math Comput 34:177–194

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledged the support of Delhi Technological University, Delhi, India, for giving monetary help to complete this research work. They are also indebted to the anonymous reviewers and the handling editor for their constructive comments and suggestions which have enhanced the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nilam.

Additional information

Publisher’s Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Goel, K., Nilam A mathematical and numerical study of a SIR epidemic model with time delay, nonlinear incidence and treatment rates. Theory Biosci. 138, 203–213 (2019). https://doi.org/10.1007/s12064-019-00275-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12064-019-00275-5

Keywords

Mathematics Subject Classification

Navigation