A viral load-based cellular automata approach to modeling HIV dynamics and drug treatment

DOI10.1016/J.JTBI.2007.11.005zbMath1398.92253OpenAlexW2001917666WikidataQ51898411 ScholiaQ51898411MaRDI QIDQ1794896

Yang Kuang, Veronica Shi, Abdessamad Tridane

Publication date: 16 October 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.1690

zbMATH Keywords

cellular automataHIVviral loaddrug treatmentcell neighborhood

Mathematics Subject Classification ID

Epidemiology (92D30) Cellular automata (computational aspects) (68Q80) Medical epidemiology (92C60)

Related Items (7)

Dynamics of HIV infection: an entropic-energetic view ⋮ Can the viral reservoir of latently infected \(CD4^{+}\) T cells be eradicated with antiretroviral HIV drugs? ⋮ Dynamics of the HIV infection under antiretroviral therapy: a cellular automata approach ⋮ Cellular automata approach for the dynamics of HIV infection under antiretroviral therapies: the role of the virus diffusion ⋮ Resistance to protease inhibitors in a model of HIV-1 infection with impulsive drug effects ⋮ The 3-dimensional cellular automata for HIV infection ⋮ Modeling dynamics of HIV infected cells using stochastic cellular automaton

Cites Work

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• A delay-differential equation model of HIV infection of \(\text{CD}4^+\) T-cells
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• Dynamics of HIV infection of CD4\(^ +\) T cells
• A model of HIV-1 pathogenesis that includes an intracellular delay
• Mathematical Analysis of HIV-1 Dynamics in Vivo
• A Mathematical Model of Combined Drug Therapy of HIV Infection

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