Effects of HIV infection on CD4+ T-cell population based on a fractional-order model

被引:38
作者
Arshad, Sadia [1 ,6 ]
Baleanu, Dumitru [2 ,4 ]
Bu, Weiping [3 ]
Tang, Yifa [1 ,5 ]
机构
[1] Chinese Acad Sci, ICMSEC, LSEC, Acad Math & Syst Sci, Beijing 100190, Peoples R China
[2] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkey
[3] Xiangtan Univ, Hunan Key Lab Computat & Simulat Sci & Engn, Sch Math & Computat Sci, Xiangtan 411105, Peoples R China
[4] Inst Space Sci, Magurele 077125, Romania
[5] Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
[6] COMSATS Inst Informat Technol, Lahore, Pakistan
基金
中国国家自然科学基金;
关键词
fractional derivative; HIV model; finite difference scheme; dynamical analysis; DIFFERENTIAL-EQUATIONS; STABILITY ANALYSIS; DYNAMICS; SYSTEM;
D O I
10.1186/s13662-017-1143-0
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we study the HIV infection model based on fractional derivative with particular focus on the degree of T-cell depletion that can be caused by viral cytopathicity. The arbitrary order of the fractional derivatives gives an additional degree of freedom to fit more realistic levels of CD4(+) cell depletion seen in many AIDS patients. We propose an implicit numerical scheme for the fractional-order HIV model using a finite difference approximation of the Caputo derivative. The fractional system has two equilibrium points, namely the uninfected equilibrium point and the infected equilibrium point. We investigate the stability of both equilibrium points. Further we examine the dynamical behavior of the system by finding a bifurcation point based on the viral death rate and the number of new virions produced by infected CD4(+) T-cells to investigate the influence of the fractional derivative on the HIV dynamics. Finally numerical simulations are carried out to illustrate the analytical results.
引用
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页数:14
相关论文
共 42 条
[1]  
Abramowitz M., Handbook of Mathematical Functions With Formulas, Graphs, and Mathematical Tables, V55
[2]   On some Routh-Hurwitz conditions for fractional order differential equations and their applications in Lorenz, Rossler, Chua and Chen systems [J].
Ahmed, E. ;
El-Sayed, A. M. A. ;
El-Saka, Hala A. A. .
PHYSICS LETTERS A, 2006, 358 (01) :1-4
[3]  
Alipour M, 2016, U POLITEH BUCH SER A, V78, P243
[4]  
[Anonymous], 1996, Not AMS, DOI DOI 10.1006/TPBI.1998.1382
[5]  
[Anonymous], 1999, FRACTIONAL DIFFERENT
[6]   The effect of anti-viral drug treatment of human immunodeficiency virus type 1 (HIV-1) described by a fractional order model [J].
Arafa, A. A. M. ;
Rida, S. Z. ;
Khalil, M. .
APPLIED MATHEMATICAL MODELLING, 2013, 37 (04) :2189-2196
[7]  
Arafa Aam, 2012, Nonlinear Biomed Phys, V6, P1, DOI 10.1186/1753-4631-6-1
[8]   Construction of nonstandard finite difference schemes for the SI and SIR epidemic models of fractional order [J].
Arenas, Abraham J. ;
Gonzalez-Parra, Gilberto ;
Chen-Charpentier, Benito M. .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2016, 121 :48-63
[9]   Solving a system of fractional partial differential equations arising in the model of HIV infection of CD4+ cells and attractor one-dimensional Keller-Segel equations [J].
Atangana, Abdon ;
Alabaraoye, Ernestine .
ADVANCES IN DIFFERENCE EQUATIONS, 2013,
[10]   A perspective on the numerical treatment of Volterra equations [J].
Baker, CTH .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2000, 125 (1-2) :217-249