Epidemic dynamics on a delayed multi-group heroin epidemic model with nonlinear incidence rate
-
1669
Downloads
-
2614
Views
Authors
Xianning Liu
- Key Laboratory of Eco-environments in Three Gorges Reservoir Region (Ministry of Education), School of Mathematics and Statistics, Southwest University, Chongqing 400715, China.
Jinliang Wang
- School of Mathematical Science, Heilongjiang University, Harbin 150080, China.
Abstract
For a multi-group Heroin epidemic model with nonlinear incidence rate and distributed delays, we
study some aspects of its global dynamics. By a rigorous analysis of the model, we establish that the
model demonstrates a sharp threshold property, completely determined by the values of \(\Re_0\): if \(\Re_0 \leq 1\),
then the drug-free equilibrium is globally asymptotically stable; if \(\Re_0 > 1\), then there exists a unique
endemic equilibrium and it is globally asymptotically stable. A matrix-theoretic method based on the
Perron eigenvector is used to prove the global asymptotic stability of the drug-free equilibrium and a graph-
theoretic method based on Kirchhoff's matrix tree theorem was used to guide the construction of Lyapunov
functionals for the global asymptotic stability of the endemic equilibrium.
Share and Cite
ISRP Style
Xianning Liu, Jinliang Wang, Epidemic dynamics on a delayed multi-group heroin epidemic model with nonlinear incidence rate, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 5, 2149--2160
AMA Style
Liu Xianning, Wang Jinliang, Epidemic dynamics on a delayed multi-group heroin epidemic model with nonlinear incidence rate. J. Nonlinear Sci. Appl. (2016); 9(5):2149--2160
Chicago/Turabian Style
Liu, Xianning, Wang, Jinliang. "Epidemic dynamics on a delayed multi-group heroin epidemic model with nonlinear incidence rate." Journal of Nonlinear Sciences and Applications, 9, no. 5 (2016): 2149--2160
Keywords
- Heroin epidemic model
- multi-group
- global stability
- Lyapunov functionals.
MSC
References
-
[1]
A. Berman, R. J. Plemmons, Nonnegative matrices in the mathematical sciences, Academic Press, New York (1979)
-
[2]
N. P. Bhatia, G. P. Szegő, Dynamical Systems: Stability Theory and Applications, in: Lecture Notes in Mathematics, vol. 35, Springer, Berlin (1967)
-
[3]
C. Chin, Control of Communicable Diseases Manual, American Public Health Association, Washington (1999)
-
[4]
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.
-
[5]
H. Guo, M. Y. Li, Z. Shuai, Global stability of the endemic equilibrium of multigroup SIR epidemic models , Can. Appl. Math. Q., 14 (2006), 259-284.
-
[6]
H. Guo, M. Y. Li, Z. Shuai, A graph-theoretic approach to the method of global Lyapunov functions , Proc. Amer. Math. Soc., 136 (2008), 2793-2802.
-
[7]
J. K. Hale, Theory of Functional Differential Equations, Springer, New York (1997)
-
[8]
G. Huang, A. Liu, A note on global stability for heroin epidemic model with distributed delay , Appl. Math. Lett., 26 (2013), 687-691.
-
[9]
G. Huang, J. Wang, J. Zu, Global dynamics of multi-group dengue disease model with latency distributions, Math. Meth. Appl. Sci., 38 (2015), 2703-2718.
-
[10]
A. Korobeinikov, Global properties of infectious disease models with nonlinear incidence, Bull. Math. Biol., 69 (2007), 1871-1886.
-
[11]
J. P. Lasalle, The Stability of Dynamical Systems, in: Regional Conference Series in Applied Mathematics, Philadelphia, SIAM (1976)
-
[12]
M. Y. Li, Z. Shuai, Global-stability problem for coupled systems of differential equations on networks, J. Differential Equations, 248 (2010), 1-20.
-
[13]
M. Y. Li, Z. Shuai, C. Wang, Global stability of multi-group epidemic models with distributed delays, J. Math. Anal. Appl., 361 (2010), 38-47.
-
[14]
J. Liu, T. Zhang, Global behaviour of a heroin epidemic model with distributed delay, Appl. Math. Lett., 24 (2011), 1685-1692.
-
[15]
S. W. Martin, Livestock Disease Eradication: Evaluation of the Cooperative State Federal Bovine Tuberculosis Eradication Program, National Academy Press, Washington (1994)
-
[16]
C. C. McCluskey, Global stability for an SIR epidemic model with delay and nonlinear incidence, Nonlinear Anal. Real World Appl., 11 (2010), 3106-3109.
-
[17]
C. C. McCluskey, Global stability of an SIR epidemic model with delay and general nonlinear incidence, Math. Biosci. Eng., 7 (2010), 837-850.
-
[18]
G. Mulone, B. Straughan , A note on heroin epidemics, Math. Biosci., 218 (2009), 138-141.
-
[19]
H. Shu, D. Fan, J. Wei , Global stability of multi-group SEIR epidemic models with distributed delays and nonlinear transmission, Nonlinear Anal. Real World Appl., 13 (2012), 1581-1592.
-
[20]
H. Smith, P. Waltman , The Theory of the Chemostat: Dynamics of Microbial Competition, Cambridge University Press, Cambridge (1995)
-
[21]
R. Sun, Global stability of the endemic equilibrium of multigroup SIR models with nonlinear incidence, Comput. Math. Appl., 60 (2010), 2286-2291
-
[22]
P. van den Driessche, J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci., 180 (2002), 29-48.
-
[23]
K. E. VanLandingham, H. B. Marsteller, G. W. Ross, F. G. Hayden, Relapse of herpes simplex encephalitis after conventional acyclovir therapy , JAMA, 259 (1988), 1051-1053.
-
[24]
J. Wang, X. Liu, J. Pang, D. Hou , Global dynamics of a multi-group epidemic model with general exposed distribution and relapse , Osaka. J. Math., 52 (2015), 117-138.
-
[25]
J. Wang, J. Pang, X. Liu, Modeling diseases with relapse and nonlinear incidence of infection: a multi-group epidemic model, J. Biol. Dynam., 8 (2014), 99-116.
-
[26]
X. Wang, J. Yang, X. Li , Dynamics of a heroin epidemic model with very population, Appl. Math., 2 (2011), 732-738.
-
[27]
J. Wang, J. Zu, X. Liu, G. Huang, J. Zhang, Global dynamics of a multi-group epidemic model with general relapse distribution and nonlinear incidence rate, J. Biol. Sys., 20 (2012), 235-258.
-
[28]
E. White, C. Comiskey, Heroin epidemics, treatment and ODE modelling, Math. Biosci., 208 (2007), 312-324.