Articles

GLOBAL STABILITY OF SIRS EPIDEMIC MODELS WITH A CLASS OF NONLINEAR INCIDENCE RATES AND DISTRIBUTED DELAYS

  • Yoichi Enatsu ,
  • Yukihiko Nakata ,
  • Yoshiaki Muroya
Expand
  • 1.Department of Pure and Applied Mathematics, Waseda University, 3-4-1 Ohkubo, Shinjuku-ku, Tokyo, 169-8555, Japan|2.Basque Center for Applied Mathematics, Mazarredo, 14 E-48009 Bilbao, Spain|3.Department of Mathematics, Waseda University 3-4-1 Ohkubo, Shinjuku-ku, Tokyo 169-8555, Japan

Received date: 2009-11-18

  Revised date: 2011-01-23

  Online published: 2012-05-20

Supported by

The authors'  work was supported in part by JSPS Fellows, No.237213 of Japan Society for the Promotion of Science to the first author, by the Grant MTM2010-18318 of the MICINN, Spanish Ministry of Science and Innovation to the second author, and by Scientific Research (c), No.21540230 of Japan Society for the Promotion of Science to the third author.

Abstract

In this article, we establish the global asymptotic stability of a disease-free equilibrium and an endemic equilibrium of an SIRS epidemic model with a class of nonlin-ear incidence rates and distributed delays. By using strict monotonicity of the incidence function and constructing a Lyapunov functional, we obtain sufficient conditions under which the endemic equilibrium is globally asymptotically stable. When the nonlinear inci-dence rate is a saturated incidence rate, our result provides a new global stability condition for a small rate of immunity loss.

Cite this article

Yoichi Enatsu , Yukihiko Nakata , Yoshiaki Muroya . GLOBAL STABILITY OF SIRS EPIDEMIC MODELS WITH A CLASS OF NONLINEAR INCIDENCE RATES AND DISTRIBUTED DELAYS[J]. Acta mathematica scientia, Series B, 2012 , 32(3) : 851 -865 . DOI: 10.1016/S0252-9602(12)60066-6

References

[1] Beretta E, Takeuchi Y. Convergence results in SIR epidemic models with varying population size. Nonlinear Anal, 1997, 28: 1909–1921

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

[3] Enatsu Y, Nakata Y, Muroya Y. Global stability of SIR epidemic models with a wide class of nonlinear incidence rates and distributed delays. Discrete and Continuous Dynamical Systems, 2011, 15B: 61–74

[4] Glass K, Xia Y, Grenfell B T. Interpreting time-series analyses for continuous-time biological models-measles as a case study. J Theor Biol, 2003, 2: 19–25

[5] Hale J K. Theory of Functional Differential Equations. Heidelberg: Springer-Verlag, 1977

[6] Huang G, Takeuchi Y, Ma W, Wei D. Global stability for delay SIR and SEIR epidemic models with nonlinear incidence rate. Bull Math Biol, 2010, 72: 1192–1207

[7] Huo H F, Ma Z P. Dynamics of a delayed epidemic model with non-monotonic incidence rate. Commun Nonlinear Sci Numer Simulat, 2010, 15: 459–468

[8] Jin Y, Wang W, Xiao S. An SIRS model with a nonlinear incidence rate. Chaos, Solitons and Fractals, 2007, 34: 1482–1497

[9] Korobeinikov A, Maini P K. Nonlinear incidence and stability of infectious disease models. Math Med Biol, 2005, 22: 113–128

[10] Korobeinikov A. Lyapunov functions and global stability for SIR and SIRS epidemiological models with non-linear transmission. Bull Math Biol, 2006, 68: 615–626

[11] Korobeinikov A. Global Properties of Infectious Disease Models with Nonlinear Incidence. Bull Math Biol, 2007, 69: 1871–1886

[12] Liu W M, Levin S A, Iwasa Y. Influence of nonlinear incidence rates upon the behavior of SIRS epidemi-ological models. J Math Biol, 1986, 23: 187–204

[13] McCluskey C C. Complete global stability for an SIR epidemic model with delay-Distributed or discrete. Nonl Anal RWA, 2010, 11: 55–59

[14] McCluskey C C. Global stability of an SIR epidemic model with delay and general nonlinear incidence. Math Biosci Engi, 2010, 7: 837–850

[15] Mena-Lorca J, Hethcote H W. Dynamic models of infectious diseases as regulators of population size. J Math Biol, 1992, 30: 693–716

[16] Muroya Y, Enatsu Y, Nakata Y. Global stability of a delayed SIRS epidemic model with a non-monotonic incidence rate. J Math Anal Appl, 2011, 377: 1–14

[17] Muroya Y, Enatsu Y, Nakata Y. Monotone iterative techniques to SIRS epidemic models with nonlinear incidence rates and distributed delays. Nonl Anal RWA, 2011, 12: 1897–1910

[18] Xu R, Ma Z. Stability of a delayed SIRS epidemic model with a nonlinear incidence rate. Chaos, Solitons and Fractals, 2009, 41: 2319–2325

[19] Yang Y, Xiao D. Influence of latent period and nonlinear incidence rate on the dynamics of SIRS epidemi-ological models. Discrete and Continuous Dynamical Systems, 2010, 13B: 195–211

Outlines

/