Global Stability of an HIV Dynamical Model with Crowley-Martin Functional Response
Keywords:
Viral infection, Global stability, Crowley-Martin, Lyapunov functionAbstract
Mathematical modeling is an important method to study and research for the dynamic of viral infection in mathematical biology. The aim of this article is to study the global dynamic of HIV virus infection model with Crowley-Martin functional response and give the results by using Lyapunov's second method and LaSalle's invariance principle. We derive the basic reproduction number \(R_0\) and prove the global stability of rest points of system when \(R_0 \leq 1\), \(R_0>1\), respectively.References
P. H. Crowley, E.K. Martin: Functional responses and interference within and between year classes of a dragonfly population, J. N. Am. Benthol. Soc. 8,
(1989), 211-221.
T. K. Gharahasanlou, V. Roomi and Z. Hemmatzadeh, Global stability analysis of viral infection model with logistic growth rate, general incidence function and cellular immunity, Mathematics and Computers in Simulation 194 (2022) 64–79.
J. K. Hale: Theory of Functional Differential Equations, Springer, Berlin (1977).
J. K. Hale, S. Verduyn Lunel: Introduction to Functional Differential Equation. Springer, New York (1993).
K. Hattaf, N. Yousfi, A. Tridan: Mathematical analysis of a virus dynamics model with general incidence rate and cure rate, Nonlinear Anal. RWA 13, (2012), 1866-1872.
D. Li, W. Ma: Asymptotic properties of an HIV-1 infection model with time delay, J. Math. Anal. Appl. 335, (2007) 683-691.
X. Liu, H. Wang, W. Ma: Global stability of an HIV pathogenesis model with cure rate, Nonlinear Anal. RWA 12, (2011), 2947-2961.
A. R. McLean, T. B. L. Kirkwood: A model of human immunodeficiency virus infection in T helper cell clones, J. Theoret. Biol. 147, (1990), 177-203.
L. Min, Y. Su, Y. Kuang: Mathematical analysis of a basic model of virus infection with application to HBV infection, Rocky Mountain J. Math. 38 (5), (2008), 1573-1585.
M.A. Nowak, R.M. May: Viral Dynamics, Oxford University Press, Oxford, 2000.
A. Perelson, P. Nelson: Mathematical models of HIV dynamics in vivo, SIAM Rev. 41, (1999), 3-44.
A. Perelson, A. Neumann, M. Markowitz, J. Leonard, D. Ho: HIV-1 dynamics in vivo: virion clearance rate, infected cell life-span, and viral generation
time, Science 271, (1996), 1582-1586.
V. Roomi, T. K. Gharahasanlou and Z. Hemmatzadeh, Stability analysis, Hopf bifurcation and drug therapy control of an HIV viral infection model with logistic growth rate and cell-to-cell and cell-free transmissions, International Journal of Bifurcation and Chaos 32(10) (2022) 2250147, DOI: 10.1142/S0218127422501474.
X. Song, A. Neumann: Global stability and periodic solution of the viral dynamics, J. Math. Anal. Appl. 329, (2007), 281-297.
X. Zhou, J. Cui: Global stability of the viral dynamics with Crowley–Martin functional response, Bull. Korean Math. Soc. 48 (3), (2011), 555-574.
X. Zhou, X. Song, X. Shi: A differential equation model of HIV infection of CD4$^+$ T-cells with cure rate, J. Math. Anal. Appl. 342 (2), (2008), 1342-1355.
X. Zhou, X. Shi, Z. Zhang and X. Song: Dynamical behavior of a virus dynamics model with CTL immune response, Applied Mathematics and Computation, 213(2), (2009), 329-347.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Letters in Nonlinear Analysis and its Applications
This work is licensed under a Creative Commons Attribution 4.0 International License.