Momentum managing epidemic spread and Bessel functions()

Starting with the power law for the total number of detected infections, we propose differential equations describing the effect of momentum epidemic management. Our 2-phase formula matches very well the curves of the total numbers of the Covid-19 infection in many countries; the first phase is desc...

Descripción completa

Detalles Bibliográficos
Autor principal: Cherednik, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Frontiers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831999/
https://www.ncbi.nlm.nih.gov/pubmed/33519105
http://dx.doi.org/10.1016/j.chaos.2020.110234
_version_ 1783641739600330752
author Cherednik, Ivan
author_facet Cherednik, Ivan
author_sort Cherednik, Ivan
collection PubMed
description Starting with the power law for the total number of detected infections, we propose differential equations describing the effect of momentum epidemic management. Our 2-phase formula matches very well the curves of the total numbers of the Covid-19 infection in many countries; the first phase is described by Bessel functions. It provides projections for the saturation, assuming that the management is steady. We discuss Austria, Brazil, Germany, Japan, India, Israel, Italy, the Netherlands, Sweden, Switzerland, UK, and the USA, including some analysis of the second waves.
format Online
Article
Text
id pubmed-7831999
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-78319992021-01-26 Momentum managing epidemic spread and Bessel functions() Cherednik, Ivan Chaos Solitons Fractals Frontiers Starting with the power law for the total number of detected infections, we propose differential equations describing the effect of momentum epidemic management. Our 2-phase formula matches very well the curves of the total numbers of the Covid-19 infection in many countries; the first phase is described by Bessel functions. It provides projections for the saturation, assuming that the management is steady. We discuss Austria, Brazil, Germany, Japan, India, Israel, Italy, the Netherlands, Sweden, Switzerland, UK, and the USA, including some analysis of the second waves. Elsevier Ltd. 2020-10 2020-10-07 /pmc/articles/PMC7831999/ /pubmed/33519105 http://dx.doi.org/10.1016/j.chaos.2020.110234 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Frontiers
Cherednik, Ivan
Momentum managing epidemic spread and Bessel functions()
title Momentum managing epidemic spread and Bessel functions()
title_full Momentum managing epidemic spread and Bessel functions()
title_fullStr Momentum managing epidemic spread and Bessel functions()
title_full_unstemmed Momentum managing epidemic spread and Bessel functions()
title_short Momentum managing epidemic spread and Bessel functions()
title_sort momentum managing epidemic spread and bessel functions()
topic Frontiers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831999/
https://www.ncbi.nlm.nih.gov/pubmed/33519105
http://dx.doi.org/10.1016/j.chaos.2020.110234
work_keys_str_mv AT cherednikivan momentummanagingepidemicspreadandbesselfunctions

Ejemplares similares