Direct statistical modeling of HIV-1 infection based on a non-Markovian stochastic model

DOI10.1134/S0965542521060026zbMath1471.92289OpenAlexW3199585946MaRDI QIDQ822206

Gennadii A. Bocharov, Konstantin Konstantinovich Loginov, Valentin Alekseevich Topchiĭ, Nikolay Viktorovitch Pertsev

Publication date: 21 September 2021

Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0965542521060026

zbMATH Keywords

Monte Carlo methodbranching processdelay differential equationsnumerical experimenteradication of HIV-1non-Markov model of HIV-1 infection

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to psychology (62P15)

Cites Work

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• Mathematical analysis of delay differential equation models of HIV-1 infection
• Stochastic modelling of age-structured population with time and size dependence of immigration rate
• A parameter sensitivity methodology in the context of HIV delay equation models
• Parallel realization of statistical simulation and random number generators
• Human Immunodeficiency Virus Infection : from Biological Observations to Mechanistic Mathematical Modelling
• Stochastic Analog of the Dynamic Model of HIV-1 Infection Described by Delay Differential Equations

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