Analysis of a viral infection model with immune impairment and cure rate
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Authors
Jianwen Jia
- School of Mathematics and Computer Science, Shanxi Normal University, Shanxi, Linfen 041004, P. R. China.
Xuewei Shi
- School of Mathematics and Computer Science, Shanxi Normal University, Shanxi, Linfen 041004, P. R. China.
Abstract
In this paper, the dynamics behavior of a delayed viral infection model with immune impairment and
cure rate is studied. It is shown that there exists three equilibria. By analyzing the characteristic equations,
the local stability of the infection-free equilibrium and the immune-exhausted equilibrium of the model are
established. In the following, the stability of the positive equilibrium is studied. Furthermore, we investigate
the existence of Hopf bifurcation by using a delay as a bifurcation parameter. Finally, numerical simulations
are carried out to explain the mathematical conclusions.
Share and Cite
ISRP Style
Jianwen Jia, Xuewei Shi, Analysis of a viral infection model with immune impairment and cure rate, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 5, 3287--3298
AMA Style
Jia Jianwen, Shi Xuewei, Analysis of a viral infection model with immune impairment and cure rate. J. Nonlinear Sci. Appl. (2016); 9(5):3287--3298
Chicago/Turabian Style
Jia, Jianwen, Shi, Xuewei. "Analysis of a viral infection model with immune impairment and cure rate." Journal of Nonlinear Sciences and Applications, 9, no. 5 (2016): 3287--3298
Keywords
- Viral infection
- immune impairment
- cure rate
- Hopf bifurcation
- stability.
MSC
References
-
[1]
R. M. Anderson, R. M. May, Infectious Diseases of Humans, Oxford University Press, Oxford (1991)
-
[2]
C. Bartholdy, J. P. Christensen, D. Wodarz, A. R. Thomsen , Persistent virus infection despite chronic cytotoxic T-lymphocyte activation in Gamma interferon-deficient mice infection with lymphocytic choriomeningitis virus, J. Virol., 74 (2000), 1034-10311.
-
[3]
R. J. D. Boer, A. S. Perelson, Towards a general function describing T cell proliferation, J. Theor. Biol., 175 (1995), 567-576.
-
[4]
R. J. D. Boer, A. S. Perelson, Target cell limited and immune control models of HIV infection: a comparison, J. Theor. Biol., 190 (1998), 201-214.
-
[5]
A. V. Eric, C. C. Noe, G. A. Gerardo, Analysis of a viral infection model with immune impairment, intracellular delay and general non-linear incidence rate, Chaos Solitons Fractals., 69 (2014), 1-9.
-
[6]
K. Hattaf, N. Yousfi, Global stability of a virus dynamics model with cure rate and absorption, J. Egyptian Math. Soc., 22 (2014), 386-389.
-
[7]
Z. Hu, J. Zhang, H. Wang, W. Ma, F. Liao, Dynamics of a delayed viral infection model with logistic growth and immune impairment, Appl. Math. Model., 38 (2014), 524-534.
-
[8]
S. Iwami, S. Nakaoka, Y. Takeuchi, T. Miura, Immune impairment thresholds in HIV infection, Immunol. Lett., 123 (2009), 149-154.
-
[9]
Y. Kuang, Delay differential equations with applications in population dynamics, Academic Press, New York (1993)
-
[10]
M. A. Nowak, C. R. M. Bangham, Population dynamics of immune response to persistent viruses, Science, 272 (1996), 74-79.
-
[11]
M. A. Nowak, R. M. May, Viral Dynamics, Oxford University Press, Oxford (2000)
-
[12]
R. R. Regoes, D. Wodarz, M. A. Nowak, Virus dynamics: the effect of target cell limitation and immune responses on virus evolution, J. Theor. Biol., 191 (1998), 451-462.
-
[13]
Y. Song, S. Yuan, Bifurcation analysis in a predator-prey system with time delay, Nonlinear Anal. Real World Appl., 7 (2006), 265-284.
-
[14]
Y. N. Tian, X. N. Liu, Global dynamics of a virus dynamical model with general incidence rate and cure rate, Nonlinear Analysis: Real World Appl., 16 (2014), 17-26.
-
[15]
S. Wang, X. Song, Z. Ge, Dynamics analysis of a delayed viral infection model with immune impairment, Appl. Math. Model., 35 (2011), 4877{4885.
-
[16]
D. Wodarz, J. P. Christensen, A. R. Thomsen, The importance of lytic and nonlytic immune response in viral infections, Trends Immunol., 23 (2002), 194-200.
-
[17]
Q. Xie, D. Huang, S. Zhang, J. Cao, Analysis of a viral infection model with delayed immune response, Appl. Math. Model., 34 (2010), 2388-2395.