Genetic-mathematical modelling of the populations interaction


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Abstract

The solution of the genetic-mathematical problem of interaction between the human population and the virus population in relation to the problem of the COVID-19 pandemic is presented. It is noted that the virus does not interact with the entire human body, as a set of complex organs, but with its individual cells. A mathematical model based on the Hardy–Weinberg law is used, consisting of two linear interdependent differential equations relatively to the frequency of an allele with different right sides. The equations reflect the time dynamics of human cells and virus populations during their interaction. In the equation for the virus population the right side is a constant value that characterizes the death of viruses due to the human immune system. In the equation for human cells population the right side depends linearly on the allele frequency of the virus population. The right side of this equation characterizes the death of a cell when a virus inserted in its DNA for its reproduction. Solutions of differential equations are found and the results of these solutions are analyzed. The duration of the pandemic was estimated using parameters of human liver cells and influenza virus.

About the authors

Andrey N. Volobuev

Samara State Medical University

Author for correspondence.
Email: volobuev47@yandex.ru

Kaira A. Adyshirin-Zade

Samara State Medical University

Email: adysirinzade67@gmail.com

Tatyana A. Antipova

Samara State Medical University

Email: antipovata81@gmail.com

References

  1. Volobuev A.N. et al. Mathematical Genetics. Samara: ANO «Izdatel’stvo SNTs», 2020, 140 p. (In Russ.)
  2. Fundamentals of General Biology. Ed. by E. Libberta; Trans. from German. Moscow: Mir, 1982, 440 p. (In Russ.)
  3. Fogel’ F., Motul’ski A. Human Genetics. Vol. 1–3. Trans. from English. Moscow: Mir, 1990, 312 p. (In Russ.)
  4. Li Ch. Introduction to Population Genetics. Trans. from English. Moscow: Mir, 1978, 135 p. (In Russ.)

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Copyright (c) 2020 Volobuev A., Adyshirin-Zade K., Antipova T.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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