Mathematics

Analysis of vector-borne infectious disease model with age-structured and horizontal transmission

  • Shuangshuang LIANG ,
  • Linfei NIE ,
  • Lin HU
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  • College of Mathematics and System Science, Xinjiang University, Urumqi 830046, China

Received date: 2020-01-19

  Online published: 2021-05-26

Abstract

Considering the prevalence of variations in virus strains and the age of infection, a vector-borne infectious disease model with latent age and horizontal transmission is proposed. An exact expression for the basic reproduction number, ${\cal R} _0 $ , is given, which characterizes the existence of the disease-free equilibrium and the endemic equilibrium for this model. Next, by using a combination of linear approximation methods, constructing suitable Lyapunov functions, LaSalle invariance principles, and other methods, we prove that if ${\cal R}_0 <1 $ , then the disease-free equilibrium has global asymptotic stability, and the disease will eventually become extinct; if ${\cal R}_0>1$ , then the endemic equilibrium is globally asymptotically stable, and the disease will continue to form an endemic disease.

Cite this article

Shuangshuang LIANG , Linfei NIE , Lin HU . Analysis of vector-borne infectious disease model with age-structured and horizontal transmission[J]. Journal of East China Normal University(Natural Science), 2021 , 2021(3) : 47 -55 . DOI: 10.3969/j.issn.1000-5641.2021.03.006

References

1 MAGAL P, MCCLUSKEY C C, WEBB G F. Lyapunov functional and global asymptotic stability for an infection-age model. Applicable Analysis, 2010, 89, 1109- 1140.
2 VARGAS-DE-LEóN C, ESTEVA L, KOROBEINIKOV A. Age-dependency in host-vector models: The global analysis. Applied Mathematics and Computation, 2014, 243, 969- 981.
3 LIU L L, WANG J L, LIU X N. Global stability of an SEIR epidemic model with age-dependent latency and relapse. Nonlinear Analysis: Real World Applications, 2015, 24, 18- 35.
4 CHEN Y, ZOU S, YANG J. Global analysis of an SIR epidemic model with infection age and saturated incidence. Nonlinear Analysis: Real World Applications, 2016, 30, 16- 31.
5 DANG Y X, QIU Z P, LI X Z, et al. Global dynamics of a vector-host epidemic model with age of infection. Mathematical Biosciences and Engineering, 2017, 14 (5/6): 1159- 1186.
6 LASHARI A A, ZAMAN G. Global dynamics of vector-borne diseases with horizontal transmission in host population. Computers & Mathematics with Applications, 2011, 61 (4): 745- 754.
7 WANG X, CHEN Y M. An age-structured vector-borne disease model with horizontal transmission in the host. Mathematical Biosciences and Engineering, 2018, 15 (5): 1099- 1117.
8 HALE T K. Functional Differential Equations [M]. Berlin: Springer, 1971: 183.
9 WEBB G F. Theory of Nonlinear Age-dependent Population Dynamics [M]. New York: Marcel Dekker, 1985.
10 CASTILLO-CHAVEZ C, FENG Z. Global stability of an age-structured model for TB and its applications to optimal vaccination strategies. Mathematical Biosciences, 1998, 151 (2): 135- 154.
11 FENG Z, HUANG W, CASTILLO-CHAVEZ C. Global behavior of a multi-group SIS epidemic model with age structure. Journal of Differential Equations, 2005, 218 (2): 292- 324.
12 CAMERON B J, SERGEI P S. Global analysis of age-structured within-host virus model. Discrete and Continuous Dynamical Systems-Series B, 2013, 18 (8): 1999- 2017.
13 HALE J K, WALTMAN P. Persistence in infinite-dimensional systems. SIAM Journal on Applied Mathematics, 1989, 20 (2): 388- 395.
14 MARTCHEVA M, THIEME H R. Progression-age-enhanced backward bifurcation in an epidemic model with super-infection. Journal of Mathematical Biology, 2003, 46 (5): 385- 424.
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