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Epidemic Dynamics Kinetic Model and Its Testing on the Covid-19 Epidemic Spread Data
A kinetic model has been proposed for the spread of epidemics, describing the dynamics of the variation in the number of disease-free, infected, and recovered (SIR) cases, based on a lag logistic equation. It has been established that this model predicts the possibility of existence of a quasi-stead...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921282/ http://dx.doi.org/10.1007/s10891-021-02268-y |
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author | Shnip, A. I. |
author_facet | Shnip, A. I. |
author_sort | Shnip, A. I. |
collection | PubMed |
description | A kinetic model has been proposed for the spread of epidemics, describing the dynamics of the variation in the number of disease-free, infected, and recovered (SIR) cases, based on a lag logistic equation. It has been established that this model predicts the possibility of existence of a quasi-steady-state mode of an epidemic in which the number of infected cases is constant due to the balance of the daily increment of infections and recoveries. Conditions have been identified under which such a mode can be a source of the advance of the second epidemic wave. The COVID-19 pandemic data were used to show the possibility of reliable forecasts based on this model of the spread of an epidemic for a period of up to two months. |
format | Online Article Text |
id | pubmed-7921282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-79212822021-03-02 Epidemic Dynamics Kinetic Model and Its Testing on the Covid-19 Epidemic Spread Data Shnip, A. I. J Eng Phys Thermophy Article A kinetic model has been proposed for the spread of epidemics, describing the dynamics of the variation in the number of disease-free, infected, and recovered (SIR) cases, based on a lag logistic equation. It has been established that this model predicts the possibility of existence of a quasi-steady-state mode of an epidemic in which the number of infected cases is constant due to the balance of the daily increment of infections and recoveries. Conditions have been identified under which such a mode can be a source of the advance of the second epidemic wave. The COVID-19 pandemic data were used to show the possibility of reliable forecasts based on this model of the spread of an epidemic for a period of up to two months. Springer US 2021-03-02 2021 /pmc/articles/PMC7921282/ http://dx.doi.org/10.1007/s10891-021-02268-y Text en © Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Shnip, A. I. Epidemic Dynamics Kinetic Model and Its Testing on the Covid-19 Epidemic Spread Data |
title | Epidemic Dynamics Kinetic Model and Its Testing on the Covid-19 Epidemic Spread Data |
title_full | Epidemic Dynamics Kinetic Model and Its Testing on the Covid-19 Epidemic Spread Data |
title_fullStr | Epidemic Dynamics Kinetic Model and Its Testing on the Covid-19 Epidemic Spread Data |
title_full_unstemmed | Epidemic Dynamics Kinetic Model and Its Testing on the Covid-19 Epidemic Spread Data |
title_short | Epidemic Dynamics Kinetic Model and Its Testing on the Covid-19 Epidemic Spread Data |
title_sort | epidemic dynamics kinetic model and its testing on the covid-19 epidemic spread data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921282/ http://dx.doi.org/10.1007/s10891-021-02268-y |
work_keys_str_mv | AT shnipai epidemicdynamicskineticmodelanditstestingonthecovid19epidemicspreaddata |