COVID-19冠状病毒株致人感染安全性的系统分析与数学建模

С. Н. Костарев, Р. А. Файзрахманов, Н. А. Татарникова, О. В. Новикова, Т. Г. Середа, S. Kostarev, R. Fayzrakhmanov, N. A. Tatarnikova, Oksana V. Novikova, T. Sereda
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摘要

研究的目的是建立表征“细胞-病毒-生境”系统的模型。方法。冠状病毒离开细胞而不使其凋亡的能力是提供中度感染可能性的重要因素。完整的2019-nCoV基因描述可在GenBank病毒基因组库:MN908947.3中找到。目前,世界各地的科学家正在研究该病的流行病学、临床特征、预防和治疗等方面的信息。本研究的理论方法基于病毒学理论、系统分析理论、微分积分理论和概率论。这些材料是2020-2021年期间的免疫图指标。根据对冠状病毒感染对彼尔姆地区居民影响的研究。有关冠状病毒活动和患病居民人数的数据来自公开来源。居住在彼尔姆地区的居民人数数据来自人口普查。SARS-CoV-2基因组的结构反映在GenBank数据库:MN908947.3中。研究SARS-CoV-2突变跟踪器的知识库:https://users.math.msu.edu/users/weig/SARS-CoV-2 mutation tracker .html。结果:建立并验证了“细胞-病毒-生境”模型;构建并研究了彼尔姆地区未成年人和儿童居民免疫图参数变化的微分经验方程系统;建立并研究了一个描述彼尔姆地区流行病动态的柯尔莫哥洛夫方程系统。结论。新型冠状病毒感染的后果之一可能是人类免疫系统的变化。目前对不同种族、不同年龄和性别特征在新型冠状病毒感染影响下的免疫状况的详细分析尚不清楚。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System Analysis and Mathematical Modeling of Infection Safety Human Caused by COVID-19 Coronavirus Strains
   The purpose of research is to develop models characterizing the "Cell–Virus–Habitat" system.   Methods. The ability of coronaviruses to exit the cell without its apoptosis is an important factor providing the possibility of moderate infection. A description of the complete 2019-nCoV gene can be found in the GenBank Virus Genome bank: MN908947.3. Currently, information about the epidemiology, clinical features, prevention and treatment of this disease is being studied by scientists all over the world. Theoretical approaches in the study were based on the theory of virology, system analysis, differential integral calculus and probability theory. The materials were immunogram indicators for the period 2020-2021. According to studies of the effect of coronavirus infection on residents of the Perm Region. Data on the activity of the coronavirus and the number of sick residents were taken from open sources. Data on the number of residents living in the Perm Region were taken from the population census. The structure of the SARS-CoV-2 genome is reflected in the GenBank data-base: MN908947.3. The SARS-CoV-2 mutation tracker was studied by the repository: https://users.math.msu.edu/users/weig/SARS-CoV-2 Mutation Tracker.html .   Results: the "Cell–Virus–Habitat" model was developed and investigated; a system of differential empirical equations characterizing changes in immunogram parameters among underage and child-aged residents of the Perm Region was constructed and investigated; a system of Kolmogorov equations describing the dynamics of the pandemic in the Perm Region was constructed and investigated.   Conclusion. One of the consequences of a new coronavirus infection may be a change in the immune system of the human population. A detailed analysis of the immunological status of various racial groups, different ages and gender characteristics under the influence of a new coronavirus infection is currently poorly understood.
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