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Numerical modelling of the transition of infected cells and virions between two lymph nodes in a stochastic model of HIV-1 infection Full article

Journal Russian Journal of Numerical Analysis and Mathematical Modelling
ISSN: 0927-6467 , E-ISSN: 1569-3988
Output data Year: 2021, Volume: 36, Number: 5, Pages: 293-302 Pages count : 10 DOI: 10.1515/rnam-2021-0024
Tags branching random process; computational experiment; Continuous-discrete stochastic model; HIV-1 infection; lymphatic system; Monte Carlo method; viral particles
Authors Pertsev Nikolai V. 1,2 , Topchii Valentin A. 1 , Loginov Konstantin K. 1
Affiliations
1 Sobolev Institute of Mathematics, Siberian Branch of RAS, Novosibirsk 630090, Russia
2 Marchuk Institute of Numerical Mathematics of RAS, Moscow 119333, Russia.

Funding (2)

1 Russian Science Foundation 18-71-10028
2 Russian Science Foundation 18-11-00171

Abstract: The paper is focused on stochastic modelling of the process of transition of infected cells and virions of HIV-1 infection between two lymph nodes. The model is based on the following assumptions: (1) the duration of transition of infected cells and virions between two lymph nodes is set using a time-dependent function, (2) infected cells produce virions in the process of transition between two lymph nodes, (3) infected cells and virions may die when moving between two lymph nodes. The methods of the theory of branching random processes are used to study analytically the model variables. An algorithm for statistical modelling of the number of infected cells and virions in the second lymph node is presented. The results of computational experiments studying the distribution law of the number of virions produced by one infected cell depending on the duration of movement between two lymph nodes are presented.
Cite: Pertsev N.V. , Topchii V.A. , Loginov K.K.
Numerical modelling of the transition of infected cells and virions between two lymph nodes in a stochastic model of HIV-1 infection
Russian Journal of Numerical Analysis and Mathematical Modelling. 2021. V.36. N5. P.293-302. DOI: 10.1515/rnam-2021-0024 WOS Scopus OpenAlex
Identifiers:
Web of science: WOS:000718351400004
Scopus: 2-s2.0-85120046107
OpenAlex: W3212347808
Citing:
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Scopus 2
OpenAlex 1
Web of science 1
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