Cellular automata approach for the dynamics of HIV infection under antiretroviral therapies: The role of the virus diffusion

Ramón E.R. González, Pedro Hugo de Figueirêdo and Sérgio Coutinho

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 19, 4717-4725

Abstract: We study a cellular automata model to test the timing of antiretroviral therapy strategies for the dynamics of infection with human immunodeficiency virus (HIV). We focus on the role of virus diffusion when its population is included in previous cellular automata model that describes the dynamics of the lymphocytes cells population during infection. This inclusion allows us to consider the spread of infection by the virus-cell interaction, beyond that which occurs by cell–cell contagion. The results show an acceleration of the infectious process in the absence of treatment, but show better efficiency in reducing the risk of the onset of AIDS when combined antiretroviral therapies are used even with drugs of low effectiveness. Comparison of results with clinical data supports the conclusions of this study.

Keywords: Cellular automata; HIV infection; Self-adjusted effectiveness; Virus diffusion (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:19:p:4717-4725

DOI: 10.1016/j.physa.2012.10.036

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