Viral Dynamics of Delayed CTL-inclusive HIV-1 Infection Model With Both Virus-to-cell and Cell-to-cell Transmissions
被引:0
作者:
Manyombe, M. L. Mann
论文数: 0引用数: 0
h-index: 0
机构:
Univ Yaounde I, Fac Sci, Dept Math, POB 812, Yaounde, CameroonUniv Yaounde I, Fac Sci, Dept Math, POB 812, Yaounde, Cameroon
Manyombe, M. L. Mann
[1
]
论文数: 引用数:
h-index:
机构:
Mbang, J.
[1
]
Nkamba, L. Nkague
论文数: 0引用数: 0
h-index: 0
机构:
Univ Yaounde I, Higher Teacher Training Coll, Dept Math, Yaounde, CameroonUniv Yaounde I, Fac Sci, Dept Math, POB 812, Yaounde, Cameroon
Nkamba, L. Nkague
[2
]
Onana, D. F. Nkoa
论文数: 0引用数: 0
h-index: 0
机构:
Univ Yaounde I, Fac Sci, Dept Math, POB 812, Yaounde, CameroonUniv Yaounde I, Fac Sci, Dept Math, POB 812, Yaounde, Cameroon
Onana, D. F. Nkoa
[1
]
机构:
[1] Univ Yaounde I, Fac Sci, Dept Math, POB 812, Yaounde, Cameroon
[2] Univ Yaounde I, Higher Teacher Training Coll, Dept Math, Yaounde, Cameroon
来源:
APPLICATIONS AND APPLIED MATHEMATICS-AN INTERNATIONAL JOURNAL
|
2020年
/
15卷
/
01期
关键词:
HIV-1;
infection;
Time delay;
CTL immune response;
Hopf bifurcation;
Stability;
HTLV-I INFECTION;
MATHEMATICAL-ANALYSIS;
THRESHOLD DYNAMICS;
GLOBAL DYNAMICS;
STABILITY;
BIFURCATION;
D O I:
暂无
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
We consider a mathematical model that describes a viral infection of HIV-1 with both virus-to-cell and cell-to-cell transmission, CTL response immune and four distributed delays, describing intracellular delays and immune response delay. One of the main features of the model is that it includes a constant production rate of CTLs export from thymus, and an immune response delay. We derive the basic reproduction number and show that if the basic reproduction number is less than one, then the infection free equilibrium is globally asymptotically stable; whereas, if the basic reproduction number is greater than one, then there exist a chronic infection equilibrium, which is globally asymptotically stable in absence of immune response delay. Furthermore, for the special case with only immune response delay, we determine some conditions for stability switches of the chronic infection equilibrium. Numerical simulations indicate that the intracellular delays and immune response delay can stabilize and/or destabilize the chronic infection equilibrium.