January  2012, 17(1): 297-302. doi: 10.3934/dcdsb.2012.17.297

Global stability for a HIV-1 infection model with cell-mediated immune response and intracellular delay

1. 

School of Mathematical Science, Heilongjiang University, Harbin, Heilongjiang 150080, China

2. 

Department of Mathematics, Arts and Science College, Harbin Normal University, Harbin, Heilongjiang 150025, China

Received  April 2011 Revised  August 2011 Published  October 2011

A recent paper [H. Zhu and X. Zou, Dynamics of a HIV-1 infection model with cell-mediated immune response and intracellular delay, Discrete and Continuous Dynamical Systems - Series B, 12(2009), 511--524] presented a mathematical model for HIV-1 infection with intracellular delay and cell-mediated immune response. By combining the analysis of the characteristic equation and the Lyapunov-LaSalle method, they obtain a necessary and sufficient condition for the global stability of the infection-free equilibrium and give sufficient conditions for the local stability of the two infection equilibria: one without CTLs being activated and the other with. In the present paper, we show that the global dynamics are fully determined for $\Re_1<1<\Re_0$ and $\Re_1>1$ (Theorem 4.2 and Theorem 4.3) without other additional conditions. The approach used here, is to use a direct Lyapunov functional and Lyapunov-LaSalle invariance principle.
Citation: Jinliang Wang, Lijuan Guan. Global stability for a HIV-1 infection model with cell-mediated immune response and intracellular delay. Discrete & Continuous Dynamical Systems - B, 2012, 17 (1) : 297-302. doi: 10.3934/dcdsb.2012.17.297
References:
[1]

R. Arnaout, M. Nowak and D. Wodarz, HIV-1 dynamics revisited: Biphasic decay by cytotoxic lymphocyte killing?,, Proc. Roy. Soc. Lond. B, 265 (2000), 1347. doi: 10.1098/rspb.2000.1149. Google Scholar

[2]

R. Culshaw, S. Ruan and R. Spiteri, Optimal HIV treatment by maximising immune response,, J. Math. Biol., 48 (2004), 545. doi: 10.1007/s00285-003-0245-3. Google Scholar

[3]

G. Huang, Y. Takeuchi and W. Ma, Lyapunov functionals for delay differential equations model for viral infections,, SIAM J. Appl. Math., 70 (2010), 2693. doi: 10.1137/090780821. Google Scholar

[4]

J. K. Hale and S. M. Verduyn Lunel, "Introduction to Functional-Differential Equations,", Applied Mathematical Science, 99 (1993). Google Scholar

[5]

A. Korobeinikov, Global properties of basic virus dynamics models,, Bull. Math. Biol., 66 (2004), 879. doi: 10.1016/j.bulm.2004.02.001. Google Scholar

[6]

Y. Kuang, "Delay Differential Equations with Applications in Population Dynamics,", Mathematics in Science and Engineering, 191 (1993). Google Scholar

[7]

C. C. McCluskey, Complete global stability for an SIR epidemic model with delay-distributed or discrete,, Nonlinear Anal. Real World Appl., 11 (2010), 55. doi: 10.1016/j.nonrwa.2008.10.014. Google Scholar

[8]

M. Nowak and C. Bangham, Population dynamics of immune response to persistent viruses,, Science, 272 (1996), 74. doi: 10.1126/science.272.5258.74. Google Scholar

[9]

K. Wang, W. Wang and X. Liu, Global stability in a viral infection model with lytic and nonlytic immune response,, Comput. Math. Appl., 51 (2006), 1593. doi: 10.1016/j.camwa.2005.07.020. Google Scholar

[10]

J. Wang, G. Huang, Y. Takeuchi and S. Liu, SVEIR epidemiological model with varying infectivity and distributed delays,, Math. Biosci. Eng., 8 (2011), 875. doi: 10.3934/mbe.2011.8.875. Google Scholar

[11]

J. Wang, G. Huang and Y. Takeuchi, Global asymptotic stability for HIV-1 dynamics with two distributed delays,, Math. Medic. Bio., (). doi: 10.1093/imammb/dqr009. Google Scholar

[12]

H. Zhu and X. Zou, Dynamics of a HIV-1 infection model with cell-mediated immune response and intracellular delay,, Discrete and Continuous Dynamical Systems Series B, 12 (2009), 511. Google Scholar

show all references

References:
[1]

R. Arnaout, M. Nowak and D. Wodarz, HIV-1 dynamics revisited: Biphasic decay by cytotoxic lymphocyte killing?,, Proc. Roy. Soc. Lond. B, 265 (2000), 1347. doi: 10.1098/rspb.2000.1149. Google Scholar

[2]

R. Culshaw, S. Ruan and R. Spiteri, Optimal HIV treatment by maximising immune response,, J. Math. Biol., 48 (2004), 545. doi: 10.1007/s00285-003-0245-3. Google Scholar

[3]

G. Huang, Y. Takeuchi and W. Ma, Lyapunov functionals for delay differential equations model for viral infections,, SIAM J. Appl. Math., 70 (2010), 2693. doi: 10.1137/090780821. Google Scholar

[4]

J. K. Hale and S. M. Verduyn Lunel, "Introduction to Functional-Differential Equations,", Applied Mathematical Science, 99 (1993). Google Scholar

[5]

A. Korobeinikov, Global properties of basic virus dynamics models,, Bull. Math. Biol., 66 (2004), 879. doi: 10.1016/j.bulm.2004.02.001. Google Scholar

[6]

Y. Kuang, "Delay Differential Equations with Applications in Population Dynamics,", Mathematics in Science and Engineering, 191 (1993). Google Scholar

[7]

C. C. McCluskey, Complete global stability for an SIR epidemic model with delay-distributed or discrete,, Nonlinear Anal. Real World Appl., 11 (2010), 55. doi: 10.1016/j.nonrwa.2008.10.014. Google Scholar

[8]

M. Nowak and C. Bangham, Population dynamics of immune response to persistent viruses,, Science, 272 (1996), 74. doi: 10.1126/science.272.5258.74. Google Scholar

[9]

K. Wang, W. Wang and X. Liu, Global stability in a viral infection model with lytic and nonlytic immune response,, Comput. Math. Appl., 51 (2006), 1593. doi: 10.1016/j.camwa.2005.07.020. Google Scholar

[10]

J. Wang, G. Huang, Y. Takeuchi and S. Liu, SVEIR epidemiological model with varying infectivity and distributed delays,, Math. Biosci. Eng., 8 (2011), 875. doi: 10.3934/mbe.2011.8.875. Google Scholar

[11]

J. Wang, G. Huang and Y. Takeuchi, Global asymptotic stability for HIV-1 dynamics with two distributed delays,, Math. Medic. Bio., (). doi: 10.1093/imammb/dqr009. Google Scholar

[12]

H. Zhu and X. Zou, Dynamics of a HIV-1 infection model with cell-mediated immune response and intracellular delay,, Discrete and Continuous Dynamical Systems Series B, 12 (2009), 511. Google Scholar

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