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Modeling the Waves of Covid-19

The challenges with modeling the spread of Covid-19 are its power-type growth during the middle stages of the waves with the exponents depending on time, and that the saturation of the waves is mainly due to the protective measures and other restriction mechanisms working in the same direction. The...

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Autor principal: Cherednik, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711230/
https://www.ncbi.nlm.nih.gov/pubmed/34958426
http://dx.doi.org/10.1007/s10441-021-09428-w
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author Cherednik, Ivan
author_facet Cherednik, Ivan
author_sort Cherednik, Ivan
collection PubMed
description The challenges with modeling the spread of Covid-19 are its power-type growth during the middle stages of the waves with the exponents depending on time, and that the saturation of the waves is mainly due to the protective measures and other restriction mechanisms working in the same direction. The two-phase solution we propose for modeling the total number of detected cases of Covid-19 describes the actual curves for many its waves and in many countries almost with the accuracy of physics laws. Bessel functions play the key role in our approach. The differential equations we obtain are of universal type and can be used in behavioral psychology, invasion ecology (transient processes), etc. The initial transmission rate and the intensity of the restriction mechanisms are the key parameters. This theory provides a convincing explanation of the surprising uniformity of the Covid-19 waves in many places, and can be used for forecasting the epidemic spread. For instance, the early projections for the 3rd wave in the USA appeared sufficiently exact. The Delta-waves (2021) in India, South Africa, UK, and the Netherlands are discussed at the end.
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spelling pubmed-87112302021-12-27 Modeling the Waves of Covid-19 Cherednik, Ivan Acta Biotheor Regular Article The challenges with modeling the spread of Covid-19 are its power-type growth during the middle stages of the waves with the exponents depending on time, and that the saturation of the waves is mainly due to the protective measures and other restriction mechanisms working in the same direction. The two-phase solution we propose for modeling the total number of detected cases of Covid-19 describes the actual curves for many its waves and in many countries almost with the accuracy of physics laws. Bessel functions play the key role in our approach. The differential equations we obtain are of universal type and can be used in behavioral psychology, invasion ecology (transient processes), etc. The initial transmission rate and the intensity of the restriction mechanisms are the key parameters. This theory provides a convincing explanation of the surprising uniformity of the Covid-19 waves in many places, and can be used for forecasting the epidemic spread. For instance, the early projections for the 3rd wave in the USA appeared sufficiently exact. The Delta-waves (2021) in India, South Africa, UK, and the Netherlands are discussed at the end. Springer Netherlands 2021-12-27 2022 /pmc/articles/PMC8711230/ /pubmed/34958426 http://dx.doi.org/10.1007/s10441-021-09428-w Text en © Springer Nature B.V. 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 Regular Article
Cherednik, Ivan
Modeling the Waves of Covid-19
title Modeling the Waves of Covid-19
title_full Modeling the Waves of Covid-19
title_fullStr Modeling the Waves of Covid-19
title_full_unstemmed Modeling the Waves of Covid-19
title_short Modeling the Waves of Covid-19
title_sort modeling the waves of covid-19
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711230/
https://www.ncbi.nlm.nih.gov/pubmed/34958426
http://dx.doi.org/10.1007/s10441-021-09428-w
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