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Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems

This work shows that simple compartmental epidemiological models may not reproduce actually reported country-wide statistics since the latter reflects the cumulative amount of infected persons, which in fact is a sum of outbreaks within different patched. It the same time, the multilogistic decompos...

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Autor principal: Postnikov, Eugene B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797172/
https://www.ncbi.nlm.nih.gov/pubmed/33505808
http://dx.doi.org/10.7717/peerj.10679
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author Postnikov, Eugene B.
author_facet Postnikov, Eugene B.
author_sort Postnikov, Eugene B.
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description This work shows that simple compartmental epidemiological models may not reproduce actually reported country-wide statistics since the latter reflects the cumulative amount of infected persons, which in fact is a sum of outbreaks within different patched. It the same time, the multilogistic decomposition of such epidemiological curves reveals components, which are quite close to the solutions of the SIR model in logistic approximations characterised by different sets of parameters including time shifts. This line of reasoning is confirmed by processing data for Spain and Russia in details and, additionally, is illustrated for several other countries.
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spelling pubmed-77971722021-01-26 Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems Postnikov, Eugene B. PeerJ Mathematical Biology This work shows that simple compartmental epidemiological models may not reproduce actually reported country-wide statistics since the latter reflects the cumulative amount of infected persons, which in fact is a sum of outbreaks within different patched. It the same time, the multilogistic decomposition of such epidemiological curves reveals components, which are quite close to the solutions of the SIR model in logistic approximations characterised by different sets of parameters including time shifts. This line of reasoning is confirmed by processing data for Spain and Russia in details and, additionally, is illustrated for several other countries. PeerJ Inc. 2021-01-07 /pmc/articles/PMC7797172/ /pubmed/33505808 http://dx.doi.org/10.7717/peerj.10679 Text en © 2021 Postnikov https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Mathematical Biology
Postnikov, Eugene B.
Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems
title Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems
title_full Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems
title_fullStr Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems
title_full_unstemmed Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems
title_short Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems
title_sort reproducing country-wide covid-19 dynamics can require the usage of a set of sir systems
topic Mathematical Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797172/
https://www.ncbi.nlm.nih.gov/pubmed/33505808
http://dx.doi.org/10.7717/peerj.10679
work_keys_str_mv AT postnikoveugeneb reproducingcountrywidecovid19dynamicscanrequiretheusageofasetofsirsystems