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

IF 0.5 4区 数学 Q4 MATHEMATICS, APPLIED
N. Pertsev, V. Topchii, K. Loginov
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引用次数: 1

Abstract

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.
在HIV-1感染的随机模型中感染细胞和病毒粒子在两个淋巴结间转移的数值模拟
摘要本文研究了HIV-1感染细胞和病毒粒子在两个淋巴结间转移过程的随机模型。该模型基于以下假设:(1)感染细胞和病毒粒子在两个淋巴结之间转移的持续时间使用时间依赖函数设定;(2)感染细胞在两个淋巴结之间转移的过程中产生病毒粒子;(3)感染细胞和病毒粒子在两个淋巴结之间移动时可能死亡。利用分支随机过程理论的方法对模型变量进行了解析研究。提出了一种用于统计第二淋巴结感染细胞和病毒粒子数量的算法。本文介绍了一个感染细胞产生的病毒粒子数量随两个淋巴结间运动时间的分布规律的计算实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling. The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest. Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.
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