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JOURNALS // Sibirskii Zhurnal Industrial'noi Matematiki // Archive

Sib. Zh. Ind. Mat., 2019 Volume 22, Number 1, Pages 74–89 (Mi sjim1034)

This article is cited in 9 papers

Stochastic analog of the dynamic model of HIV-1 infection described by delay differential equations

N. V. Pertsevab, B. Yu. Pichuginb, K. K. Loginovb

a Marchuk Institute of Numerical Mathematics RAS, ul. Gubkina 8, 119333 Moscow
b Sobolev Institute of Mathematics RAS, Omsk Branch, ul. Pevtsova 13, 644043 Omsk

Abstract: Some deterministic and stochastic models are constructed basing on the same assumptions about the dynamics of HIV-1 infection. The deterministic model has the form of a system of differential equations with three delays. The stochastic model is based on a branching process with the interaction of particles and takes into account the stages of maturation of cells and virions. The durations of these stages correspond to the parameters describing the delays in the deterministic model. The influence of discreteness of stochastic model variables on the dynamics of HIV-1 infection is demonstrated. We find the coinciding and significantly different conditions of HIV-1 infection elimination in the framework of deterministic and stochastic models.

Keywords: HIV-1 infection, delay differential equation, branching process with interaction and immigration of particles, Monte-Carlo method, basic reproductive number.

UDC: 519.248:57

Received: 03.09.2018
Revised: 03.09.2018
Accepted: 15.12.2018

DOI: 10.33048/sibjim.2018.22.108


 English version:
Journal of Applied and Industrial Mathematics, 2019, 13:1, 103–117

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