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Dynamics of Coronavirus spread in terms of chemical reaction kinetics
The data on Coronavirus spread in Russia (as a whole), Sweden, Moscow, and Yakutia were analyzed within the framework of kinetics of autocatalytic branching chain reactions. It was shown that in certain time intervals, the dynamics of this process can be described by a logistic function with a graph...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607540/ http://dx.doi.org/10.1007/s11172-020-2996-z |
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author | Goldberg, V. M. |
author_facet | Goldberg, V. M. |
author_sort | Goldberg, V. M. |
collection | PubMed |
description | The data on Coronavirus spread in Russia (as a whole), Sweden, Moscow, and Yakutia were analyzed within the framework of kinetics of autocatalytic branching chain reactions. It was shown that in certain time intervals, the dynamics of this process can be described by a logistic function with a graph similar to the kinetic curve of product accumulation in a first-order autocatalytic reaction both in the consumption of the reactant and in the autocatalysis by the product. The logistic curve expression has a certain predictive ability and can be used to evaluate the effectiveness of anti-epidemic measures; it also poses the problem of elucidating the causes of unexpected abrupt changes in the logistic function parameters in the description of actual statistical data. |
format | Online Article Text |
id | pubmed-7607540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-76075402020-11-03 Dynamics of Coronavirus spread in terms of chemical reaction kinetics Goldberg, V. M. Russ Chem Bull Information The data on Coronavirus spread in Russia (as a whole), Sweden, Moscow, and Yakutia were analyzed within the framework of kinetics of autocatalytic branching chain reactions. It was shown that in certain time intervals, the dynamics of this process can be described by a logistic function with a graph similar to the kinetic curve of product accumulation in a first-order autocatalytic reaction both in the consumption of the reactant and in the autocatalysis by the product. The logistic curve expression has a certain predictive ability and can be used to evaluate the effectiveness of anti-epidemic measures; it also poses the problem of elucidating the causes of unexpected abrupt changes in the logistic function parameters in the description of actual statistical data. Springer US 2020-11-03 2020 /pmc/articles/PMC7607540/ http://dx.doi.org/10.1007/s11172-020-2996-z Text en © Springer Science+Business Media LLC 2020 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 | Information Goldberg, V. M. Dynamics of Coronavirus spread in terms of chemical reaction kinetics |
title | Dynamics of Coronavirus spread in terms of chemical reaction kinetics |
title_full | Dynamics of Coronavirus spread in terms of chemical reaction kinetics |
title_fullStr | Dynamics of Coronavirus spread in terms of chemical reaction kinetics |
title_full_unstemmed | Dynamics of Coronavirus spread in terms of chemical reaction kinetics |
title_short | Dynamics of Coronavirus spread in terms of chemical reaction kinetics |
title_sort | dynamics of coronavirus spread in terms of chemical reaction kinetics |
topic | Information |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607540/ http://dx.doi.org/10.1007/s11172-020-2996-z |
work_keys_str_mv | AT goldbergvm dynamicsofcoronavirusspreadintermsofchemicalreactionkinetics |