Unified Lyapunov functional for an age-structured virus model with very general nonlinear infection response

被引:13
作者
Frioui, Mohamed Nor [1 ]
Miri, Sofiane El-hadi [1 ]
Touaoula, Tarik Mohamed [1 ]
机构
[1] Univ Abou Bekr Belkaid Tlemcen, Lab Anal Non Lineare & Math Appl, Dept Math, Tilimsen 13000, Algeria
关键词
Age structure; Virus dynamics model; General nonlinear infection function; Compact attractor; Total trajectories; Lyapunov functional; Global stability; ARBITRARILY DISTRIBUTED PERIODS; GLOBAL STABILITY; MATHEMATICAL-ANALYSIS; HIV-INFECTION; EPIDEMIOLOGIC MODELS; ENDEMIC MODELS; DYNAMICS; PERSISTENCE;
D O I
10.1007/s12190-017-1133-0
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The aim of this paper is to provide a unified Lyapunov functional for an age-structured model describing a virus infection. Our main contribution is to consider a very general nonlinear infection function, gathering almost all usual ones, for the following problem: {T'(t) = A - dT(t) - f (T(t), V(t)) t >= 0, i(t)(t, a) + i(a)(t, a) = -delta(a)i(t, a), (0.1) V'(t) = integral(infinity)(0) p(a)i(t, a)da - cV (t), where T (t), i(t, a) and V (t) are the populations of uninfected cells, infected cells with infection age a and free virus at time t respectively. The functions delta(a), p(a), are respectively, the age-dependent per capita death, and the viral production rate of infected cells with age a. The global asymptotic analysis is established, among other results, by the use of compact attractor and strongly uniform persistence. Finally some numerical simulations illustrating our results are presented.
引用
收藏
页码:47 / 73
页数:27
相关论文
共 35 条
[1]   Dynamics of Immune Escape during HIV/SIV Infection [J].
Althaus, Christian L. ;
De Boer, Rob J. .
PLOS COMPUTATIONAL BIOLOGY, 2008, 4 (07)
[2]  
[Anonymous], 2011, GRAD STUD MATH
[3]  
Brauer F., 2000, Mathematical Models in Population Biology and Epidemiology
[4]   DYNAMICS OF AN AGE-OF-INFECTION CHOLERA MODEL [J].
Brauer, Fred ;
Shuai, Zhisheng ;
van den Driessche, P. .
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2013, 10 (5-6) :1335-1349
[5]   EPIDEMIC MODELS WITH AGE OF INFECTION, INDIRECT TRANSMISSION AND INCOMPLETE TREATMENT [J].
Cai, Liming ;
Martcheva, Maia ;
Li, Xue-Zhi .
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2013, 18 (09) :2239-2265
[6]   EPIDEMIOLOGICAL MODELS WITH AGE STRUCTURE, PROPORTIONATE MIXING, AND CROSS-IMMUNITY [J].
CASTILLOCHAVEZ, C ;
HETHCOTE, HW ;
ANDREASEN, V ;
LEVIN, SA ;
LIU, WM .
JOURNAL OF MATHEMATICAL BIOLOGY, 1989, 27 (03) :233-258
[7]   A delay-differential equation model of HIV infection of CD4+ T-cells [J].
Culshaw, RV ;
Ruan, SG .
MATHEMATICAL BIOSCIENCES, 2000, 165 (01) :27-39
[8]   Virus dynamics: A global analysis [J].
De Leenheer, P ;
Smith, HL .
SIAM JOURNAL ON APPLIED MATHEMATICS, 2003, 63 (04) :1313-1327
[9]   AN AGE-STRUCTURED WITHIN-HOST MODEL FOR MULTISTRAIN MALARIA INFECTIONS [J].
Demasse, Ramses Djidjou ;
Ducrot, Arnaud .
SIAM JOURNAL ON APPLIED MATHEMATICS, 2013, 73 (01) :572-593
[10]  
Diekmann O., 2000, Mathematical epidemiology of infectious diseases: model building, analysis and interpretation