Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Shnip, A. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921282/
http://dx.doi.org/10.1007/s10891-021-02268-y
_version_ 1783658434842853376
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