Analysis of a delayed SIR model subject to multiple infectious stages and nonlinear incidence rate
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Authors
Hong Zhang
- School of Mathematical Science, Harbin Normal University, Harbin 150025, China.
Chunming Li
- School of Mathematical Science, Heilongjiang University, Harbin 150080, China.
Hongquan Sun
- School of Mathematical Science, Heilongjiang University, Harbin 150080, China.
Abstract
We investigate the threshold dynamics problem of a delayed Susceptible-Infected-Recovered (SIR) model with general nonlinear incidence and multiple parallel infectious stages. Biologically, the model contains the following aspects:
(i) once infection occurs, a fraction of the infected individuals is detected and treated, while the rest of the infected remains undetected and untreated;
(ii) distributed delays governed by a general nonlinear incidence function are included into the model due to the complexity of disease transmissions.
Mathematically, under some suitable assumptions on nonlinear incidence rate, we prove that the reproduction number \(\Re_0 \) can be used to govern the the global dynamics of the model. The proofs of global attractivity of disease-free equilibrium (which means the extinction of disease) and endemic equilibrium (which means the persistence of the disease) are achieved by constructing suitable Lyapunov functionals.
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ISRP Style
Hong Zhang, Chunming Li, Hongquan Sun, Analysis of a delayed SIR model subject to multiple infectious stages and nonlinear incidence rate, Journal of Nonlinear Sciences and Applications, 10 (2017), no. 11, 6071--6083
AMA Style
Zhang Hong, Li Chunming, Sun Hongquan, Analysis of a delayed SIR model subject to multiple infectious stages and nonlinear incidence rate. J. Nonlinear Sci. Appl. (2017); 10(11):6071--6083
Chicago/Turabian Style
Zhang, Hong, Li, Chunming, Sun, Hongquan. "Analysis of a delayed SIR model subject to multiple infectious stages and nonlinear incidence rate." Journal of Nonlinear Sciences and Applications, 10, no. 11 (2017): 6071--6083
Keywords
- SIR epidemic model
- nonlinear incidence
- global attractivity
- Lyapunov functional
MSC
References
-
[1]
V. Capasso, G. Serio, A generalization of the Kermack-McKendrick deterministic epidemic model, Math. Biosci., 42 (1978), 43–61.
-
[2]
K. L. Cooke, Stability analysis for a vector disease model, Rocky Mountain J. Math., 9 (1979), 31–42.
-
[3]
O. Diekmann, J. A. P. Heesterbeek, J. A. J. Metz, On the definition and the computation of the basic reproduction ratio \(R_0\) in models for infectious diseases in heterogeneous populations, J. Math. Biol., 28 (1990), 365–382.
-
[4]
B. S. Goh, Stability of some multispecies population models, Dekker, New York (1980)
-
[5]
J. K. Hale, J. Kato , Phase space for retarded equations with infinite delay, Funkcial. Ekvac., 21 (1978), 11–41.
-
[6]
J. K. Hale, S. M. Verduyn Lunel , Introduction to Functional Differential Equations, Springer-Verlag, New York (1993)
-
[7]
H. W. Hethcote, Qualitative analyses of communicable disease models, Math. Biosci., 28 (1976), 335–356.
-
[8]
G. Huang, Y. Takeuchi, W. Ma, D. Wei , Global stabilty for delay SIR and SEIR epidemic models with nonlinear incidence rate, Bull. Math. Biol., 28 (2010), 1192–1207.
-
[9]
A. Korobeinikov, Global properties of infectious disease models with nonlinear incidence , Bull. Math. Biol., 69 (2007), 1871–1886.
-
[10]
A. Korobeinikov, Global properties of SIR and SEIR epidemic models with multiple parallel infectious stages, Bull. Math. Biol., 71 (2009), 75–83.
-
[11]
A. Korobeinikov, P. K. Maini, Nonlinear incidence and stability of infectious disease models, Math. Med. Biol., 22 (2005), 113–128.
-
[12]
C. C. McCluskey , Global stability for an SEIR epidemiological model with varying infectivity and infinite delay, Math. Biosci. Eng., 6 (2009), 603–610.
-
[13]
C. C. McCluskey, Complete global stability for an SIR epidemic model with delay-distributed or discrete, Nonlinear Anal. Real World Appl., 11 (2010), 55–69.
-
[14]
C. C. McCluskey, Global stability for an SIR epidemic model with delay and nonlinear incidence, Nonlinear Anal. Real World Appl., 11 (2010), 3106–3109.
-
[15]
C. C. McCluskey, Global stability of an SIR epidemic model with delay and general nonlinear incidence, Math. Biosci. Eng., 7 (2010), 837–850.
-
[16]
Z. Shuai, P. van en Driessche, Global stability of infectious disease models using Lyapunov functions, SIAM J. Appl. Math., 73 (2013), 1513–1532.
-
[17]
X. Wang, S. Liu, Global properties of a delayed SIR epidemic model with multiple parallel infectious stages, Math. Biosci. Eng., 9 (2012), 685–695.
-
[18]
R. Xu, Z. Ma, Global stability of a SIR epidemic model with nonlinear incidence rate and time delay, Nonlinear Anal. Real World Appl., 10 (2009), 3175–3189.