Stability of general virus dynamics models with both cellular and viral infections
-
1834
Downloads
-
3348
Views
Authors
A. M. Elaiw
- Department of Mathematics, Faculty of Science, King Abdulaziz University, P. O. Box 80203, Jeddah 21589, Saudi Arabia.
- Department of Mathematics, Faculty of Science, Al-Azhar University (Assiut Branch), Assiut, Egypt.
A. A. Raezah
- Department of Mathematics, Faculty of Science, King Abdulaziz University, P. O. Box 80203, Jeddah 21589, Saudi Arabia.
- Department of Mathematics, Faculty of Science, King Khalid University, Abha, Saudi Arabia.
A. M. Shehata
- Department of Mathematics, Faculty of Science, Al-Azhar University (Assiut Branch), Assiut, Egypt.
Abstract
We consider two general models for the virus dynamics with virus-to-target and infected-to-target infections. We assume
that the virus-target and infected-target incidences, the production and clearance rates of all compartments are modeled by
general nonlinear functions which satisfy a set of reasonable conditions. We incorporate the latently infected cells in the second
model. For each model we prove the existence of the equilibria and calculate the basic reproduction number \(R_0\). We use suitable
Lyapunov functions and apply LaSalle’s invariance principle to prove the global asymptotic stability of the all equilibria of the
models. We confirm the theoretical results by numerical simulations.
Share and Cite
ISRP Style
A. M. Elaiw, A. A. Raezah, A. M. Shehata, Stability of general virus dynamics models with both cellular and viral infections, Journal of Nonlinear Sciences and Applications, 10 (2017), no. 4, 1538--1560
AMA Style
Elaiw A. M., Raezah A. A., Shehata A. M., Stability of general virus dynamics models with both cellular and viral infections. J. Nonlinear Sci. Appl. (2017); 10(4):1538--1560
Chicago/Turabian Style
Elaiw, A. M., Raezah, A. A., Shehata, A. M.. "Stability of general virus dynamics models with both cellular and viral infections." Journal of Nonlinear Sciences and Applications, 10, no. 4 (2017): 1538--1560
Keywords
- Global stability
- viral infection
- cell-to-cell transfer
- Lyapunov function.
MSC
References
-
[1]
N. Bairagi, D. Adak, Global analysis of HIV-1 dynamics with Hill type infection rate and intracellular delay, Appl. Math. Model., 38 (2014), 5047–5066.
-
[2]
B. Buonomo, C. Vargas-De-León, Global stability for an HIV-1 infection model including an eclipse stage of infected cells, J. Math. Anal. Appl., 385 (2012), 709–720.
-
[3]
S.-S. Chen, C.-Y. Cheng, Y. Takeuchi, Stability analysis in delayed within-host viral dynamics with both viral and cellular infections, J. Math. Anal. Appl., 442 (2016), 642–672.
-
[4]
R. V. Culshaw, S.-G. Ruan, G. Webb, A mathematical model of cell-to-cell spread of HIV-1 that includes a time delay, J. Math. Biol., 46 (2003), 425–444.
-
[5]
P. De Leenheer, H. L. Smith, Virus dynamics: a global analysis, SIAM J. Appl. Math., 63 (2003), 1313–1327.
-
[6]
A. M. Elaiw, Global properties of a class of HIV models, Nonlinear Anal. Real World Appl., 11 (2010), 2253–2263.
-
[7]
A. M. Elaiw, Global properties of a class of virus infection models with multitarget cells, Nonlinear Dynam., 69 (2012), 423–435.
-
[8]
A. M. Elaiw, N. A. Almuallem, Global properties of delayed-HIV dynamics models with differential drug efficacy in cocirculating target cells, Appl. Math. Comput., 265 (2015), 1067–1089.
-
[9]
A. M. Elaiw, N. A. Almuallem, Global dynamics of delay-distributed HIV infection models with differential drug efficacy in cocirculating target cells, Math. Methods Appl. Sci., 39 (2016), 4–31.
-
[10]
A. M. Elaiw, N. H. AlShamrani, Global stability of humoral immunity virus dynamics models with nonlinear infection rate and removal, Nonlinear Anal. Real World Appl., 26 (2015), 161–190.
-
[11]
A. M. Elaiw, N. H. AlShamrani, Stability of a general delay-distributed virus dynamics model with multi-staged infected progression and immune response, Math. Methods Appl. Sci., 40 (2017), 699–719.
-
[12]
A. M. Elaiw, S. A. Azoz, Global properties of a class of HIV infection models with Beddington-DeAngelis functional response, Math. Methods Appl. Sci., 36 (2013), 383–394.
-
[13]
A. M. Elaiw, I. Hassanien, S. Azoz, Global stability of HIV infection models with intracellular delays, J. Korean Math. Soc., 49 (2012), 779–794.
-
[14]
A. M. Elaiw, A. A. Raezah, A. S. Alofi, Effect of humoral immunity on HIV-1 dynamics with virus-to-target and infectedto- target infections, AIP Adv., 6 (2016), 085204.
-
[15]
P. Georgescu, Y.-H. Hsieh, Global stability for a virus dynamics model with nonlinear incidence of infection and removal, SIAM J. Appl. Math., 67 (2006), 337–353.
-
[16]
K. Hattaf, N. Yousfi, A generalized virus dynamics model with cell-to-cell transmission and cure rate, Adv. Difference Equ., 2016 (2016), 11 pages.
-
[17]
G. Huang, W.-B. Ma, Y. Takeuchi, Global analysis for delay virus dynamics model with Beddington-DeAngelis functional response, Appl. Math. Lett., 24 (2011), 1199–1203.
-
[18]
G. Huang, Y. Takeuchi, W.-B. Ma, Lyapunov functionals for delay differential equations model of viral infections, SIAM J. Appl. Math., 70 (2010), 2693–2708.
-
[19]
D.-W. Huang, X. Zhang, Y.-F. Guo, H.-L.Wang, Analysis of an HIV infection model with treatments and delayed immune response, Appl. Math. Model., 40 (2016), 3081–3089.
-
[20]
X.-L. Lai, X.-F. Zou, Modeling HIV-1 virus dynamics with both virus-to-cell infection and cell-to-cell transmission, SIAM J. Appl. Math., 74 (2014), 898–917.
-
[21]
X.-L. Lai, X.-F. Zou, Modeling cell-to-cell spread of HIV-1 with logistic target cell growth, J. Math. Anal. Appl., 426 (2015), 563–584.
-
[22]
B. Li, Y.-M. Chen, X.-J. Lu, S.-Q. Liu, A delayed HIV-1 model with virus waning term, Math. Biosci. Eng., 13 (2016), 135–157.
-
[23]
M. Y. Li, L.-C.Wang, Backward bifurcation in a mathematical model for HIV infection in vivo with anti-retroviral treatment, Nonlinear Anal. Real World Appl., 17 (2014), 147–160.
-
[24]
F. Li, J.-L. Wang, Analysis of an HIV infection model with logistic target-cell growth and cell-to-cell transmission, Chaos Solitons Fractals, 81 (2015), 136–145.
-
[25]
S.-Q. Liu, L. Wang, Global stability of an HIV-1 model with distributed intracellular delays and a combination therapy, Math. Biosci. Eng., 7 (2010), 675–685.
-
[26]
M. C. Maheswari, P. Krishnapriya, K. Krishnan, M. Pitchai, A mathematical model of HIV-1 infection within host cell to cell viral transmissions with RTI and discrete delays, J. Appl. Math. Comput., (2018), 151–178
-
[27]
C. C. McCluskey, Y. Yang, Global stability of a diffusive virus dynamics model with general incidence function and time delay, Nonlinear Anal. Real World Appl., 25 (2015), 64–78.
-
[28]
C. Monica, M. Pitchaimani, Analysis of stability and Hopf bifurcation for HIV-1 dynamics with PI and three intracellular delays, Nonlinear Anal. Real World Appl., 27 (2016), 55–69.
-
[29]
A. U. Neumann, N. P. Lam, H. Dahari, D. R. Gretch, T. E. Wiley, T. J. Layden, A. S. Perelson, Hepatitis C viral dynamics in vivo and the antiviral efficacy of interferon-\(\alpha\) therapy, Science, 282 (1998), 103–107.
-
[30]
M. A. Nowak, C. R. M. Bangham, Population dynamics of immune responses to persistent viruses, Science, 272 (1996), 74–79.
-
[31]
P. K. Roy, A. N. Chatterjee, D. Greenhalgh, Q. J. A. Khan, Long term dynamics in a mathematical model of HIV-1 infection with delay in different variants of the basic drug therapy model, Nonlinear Anal. Real World Appl., 14 (2013), 1621–1633.
-
[32]
X.-G. Shi, X.-Y. Zhou, X.-Y. Son, Dynamical behavior of a delay virus dynamics model with CTL immune response, Nonlinear Anal. Real World Appl., 11 (2010), 1795–1809.
-
[33]
H.-Y. Shu, L. Wang, J. Watmough, Global stability of a nonlinear viral infection model with infinitely distributed intracellular delays and CTL immune responses, SIAM J. Appl. Math., 73 (2013), 1280–1302.
-
[34]
X.-Y. Song, A. U. Neumann, Global stability and periodic solution of the viral dynamics, J. Math. Anal. Appl., 329 (2007), 281–297.
-
[35]
K. Wang, A.-J. Fan, A. Torres, Global properties of an improved hepatitis B virus model, Nonlinear Anal. Real World Appl., 11 (2010), 3131–3138.
-
[36]
J.-L. Wang, M. Guo, X.-N. Liu, Z.-T. Zhao, Threshold dynamics of HIV-1 virus model with cell-to-cell transmission, cell-mediated immune responses and distributed delay, Appl. Math. Comput., 291 (2016), 149–161.
-
[37]
L.-C. Wang, M. Y. Li, D. Kirschner, Mathematical analysis of the global dynamics of a model for HTLV-I infection and ATL progression, Math. Biosci., 179 (2002), 207–217.
-
[38]
J.-L. Wang, J. Yang, T. Kuniya, Dynamics of a PDE viral infection model incorporating cell-to-cell transmission, J. Math. Anal. Appl., 444 (2016), 1542–1564.
-
[39]
S.-H. Xu, Global stability of the virus dynamics model with Crowley-Martin functional response, Electron. J. Qual. Theory Differ. Equ., 2012 (2012 ), 10 pages.
-
[40]
Y. Yang, J.-L. Zhou, X.-S. Ma, T.-H. Zhang, Nonstandard finite difference scheme for a diffusive within-host virus dynamics model with both virus-to-cell and cell-to-cell transmissions, Comput. Math. Appl., 72 (2016), 1013–1020.
-
[41]
Y. Yang, L. Zou, S.-G. Ruan, Global dynamics of a delayed within-host viral infection model with both virus-to-cell and cell-to-cell transmissions, Math. Biosci., 270 (2015), 183–191.
-
[42]
Y.-Q. Zhao, D. T. Dimitrov, H. Liu, Y. Kuang, Mathematical insights in evaluating state dependent effectiveness of HIV prevention interventions, Bull. Math. Biol., 75 (2013), 649–675.