2002-Nelson, P. W. and A. S. Perelson - Mathematical analysis of delay differential equations models of HIV-1 infection

By Brian Winkel

SIMIODE, Chardon OH USA

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Abstract

Nelson, P. W. and A. S. Perelson. 2002. Mathematical analysis of delay differential equations models of HIV-1 infection. Mathematical Biosciences. 179: 73-94.

See http://math.lsa.umich.edu/~pwn/MBiosci2.pdf .

Abstract: Models of HIV-1 infection that include intracellular delays are more accurate representations of the biology and change the estimated values of kinetic parameters when compared to models without delays. We develop and analyze a set of models that include intracellular delays, combination antiretroviral therapy, and the dynamics of both infected and uninfected T cells. We show that when the drug efficacy is less than perfect the estimated value of the loss rate of productively infected T cells, d, is increased when data is fit with delay models compared to the values estimated with a non-delay model. We provide a mathematical justification for this increased value of delta.We also provide some general results on the stability of non-linear delay differential equation infection models.

 

Keywords: delay, differential equation, model, HIV, infection, T cell,

Cite this work

Researchers should cite this work as follows:

  • Brian Winkel (2017), "2002-Nelson, P. W. and A. S. Perelson - Mathematical analysis of delay differential equations models of HIV-1 infection," https://simiode.org/resources/3993.

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