Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection Model

A new two-parameter kinetic equation model is proposed to describe the spatial spread of the virus in the current pandemic COVID-19. The migration of infection carriers from certain foci inherent in some countries is considered. The one-dimensional model is applied to three countries: Russia, Italy,...

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Main Authors: Vladimir V. Aristov, Andrey V. Stroganov, Andrey D. Yastrebov
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Physics
Subjects:
Online Access:https://www.mdpi.com/2624-8174/3/1/8
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spelling doaj-d285c0407bef45979574f96dc420d1ab2021-02-19T00:02:34ZengMDPI AGPhysics2624-81742021-02-01388510210.3390/physics3010008Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection ModelVladimir V. Aristov0Andrey V. Stroganov1Andrey D. Yastrebov2Dorodnicyn Computing Centre, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Vavilova str. 40, 119333 Moscow, RussiaFederal State Budget Educational Institution of Higher Education «MIREA—Russian Technological University», 78 Vernadsky Avenue, 119454 Moscow, RussiaFederal State Budget Educational Institution of Higher Education «MIREA—Russian Technological University», 78 Vernadsky Avenue, 119454 Moscow, RussiaA new two-parameter kinetic equation model is proposed to describe the spatial spread of the virus in the current pandemic COVID-19. The migration of infection carriers from certain foci inherent in some countries is considered. The one-dimensional model is applied to three countries: Russia, Italy, and Chile. Both their geographical location and their particular shape stretching in the direction from the centers of infection (Moscow, Lombardy, and Santiago, respectively) make it possible to use such an approximation. The dynamic density of the infected is studied. Two parameters of the model are derived from known data. The first is the value of the average spreading rate associated with the transfer of infected persons in transport vehicles. The second is the frequency of the decrease in numbers of the infected as they move around the country, associated with the arrival of passengers at their destination. An analytical solution is obtained. Simple numerical methods are also used to perform a series of calculations. Calculations us to make some predictions, for example, about the time of recovery in Russia, if the beginning of recovery in Moscow is known.https://www.mdpi.com/2624-8174/3/1/8mathematical modelingCOVID-19 pandemickinetic type equation
collection DOAJ
language English
format Article
sources DOAJ
author Vladimir V. Aristov
Andrey V. Stroganov
Andrey D. Yastrebov
spellingShingle Vladimir V. Aristov
Andrey V. Stroganov
Andrey D. Yastrebov
Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection Model
Physics
mathematical modeling
COVID-19 pandemic
kinetic type equation
author_facet Vladimir V. Aristov
Andrey V. Stroganov
Andrey D. Yastrebov
author_sort Vladimir V. Aristov
title Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection Model
title_short Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection Model
title_full Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection Model
title_fullStr Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection Model
title_full_unstemmed Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection Model
title_sort simulation of spatial spread of the covid-19 pandemic on the basis of the kinetic-advection model
publisher MDPI AG
series Physics
issn 2624-8174
publishDate 2021-02-01
description A new two-parameter kinetic equation model is proposed to describe the spatial spread of the virus in the current pandemic COVID-19. The migration of infection carriers from certain foci inherent in some countries is considered. The one-dimensional model is applied to three countries: Russia, Italy, and Chile. Both their geographical location and their particular shape stretching in the direction from the centers of infection (Moscow, Lombardy, and Santiago, respectively) make it possible to use such an approximation. The dynamic density of the infected is studied. Two parameters of the model are derived from known data. The first is the value of the average spreading rate associated with the transfer of infected persons in transport vehicles. The second is the frequency of the decrease in numbers of the infected as they move around the country, associated with the arrival of passengers at their destination. An analytical solution is obtained. Simple numerical methods are also used to perform a series of calculations. Calculations us to make some predictions, for example, about the time of recovery in Russia, if the beginning of recovery in Moscow is known.
topic mathematical modeling
COVID-19 pandemic
kinetic type equation
url https://www.mdpi.com/2624-8174/3/1/8
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