Direct Statistical Modeling of HIV-1 Infection Based on a Non-Markovian Stochastic Model
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1134/S0965542521060026.pdf
Reference30 articles.
1. P. W. Nelson and A. S. Perelson, “Mathematical analysis of delay differential equation models of HIV-1 infection,” Math. BioSci. 179, 73 (2002).
2. H. T. Banks and D. M. Bortz, “Parameter sensitivity methodology in the context of HIV delay equation models,” J. Math. Biol. 50, 607 (2005).
3. K. A. Pawelek, S. Liu, F. Pahlevani, and L. Rong, “A model of HIV-1 infection with two time delays: Mathematical analysis and comparison with patient data,” Math. BioSci. 235, 98 (2012).
4. S. Nakaoka, I. Shingo, and K. Sato, “Dynamics of HIV infection in lymphoid tissue network,” J. Math. Biol. 72, 909 (2016).
5. J. Wang, J. Lang, and X. Zou, “Analysis of an age structured HIV infection model with virus-to-cell infection and cell-to-cell transmission,” Nonlinear Anal. Real World Appl. 34, 75 (2017).
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