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An in-host model of HIV incorporating latent infection and viral mutation. (English) Zbl 1418.37137

Summary: We construct a seven-component model of the in-host dynamics of the Human Immunodeficiency Virus Type-1 (i.e, HIV) that accounts for latent infection and the propensity of viral mutation. A dynamical analysis is conducted and a theorem is presented which characterizes the long time behavior of the model. Finally, we study the effects of an antiretroviral drug and treatment implications.

MSC:

37N25 Dynamical systems in biology
92B05 General biology and biomathematics
92C20 Neural biology

Software:

Matlab; Maple

References:

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[3] C. Parkinson, Mathematical Analysis of an in-host Model of Viral Dynamics with Spatial Heterogeneity,, submitted. · Zbl 1346.35094
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[6] A. Perelson, Modeling the within-host dynamics of HIV infection,, BMC Biology, 11 (2013)
[7] P. Roemer, Analysis and Simulation of the three-component model of HIV dynamics,, SIAM Undergraduate Research Online, 7, 89 (2014)
[8] L. Rong, Emergence of HIV-1 drug resistance during antiretroviral treatment,, Bull. Math. Biol., 69, 2027 (2007) · Zbl 1298.92053
[9] L. Rong, Modeling HIV persistence, the latent reservoir, and viral blips,, Journal of Theoretical Biology, 260, 308 (2009) · Zbl 1402.92409
[10] L. Rong, Modeling Latently Infected Cell Activation: Viral and Latent Reservoir Persistence, and Viral Blips in HIV-infected Patients on Potent Therapy,, PLoS Computational Biology, 5 (2009)
[11] R. Shonkwiler, An Introduction with Maple and Matlab,, in Undergraduate Texts in Mathematics: Mathematical Biology (2009) · Zbl 1311.92004
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