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Self-organized wavy infection curve of COVID-19

Exploiting the SIQR model for COVID-19, I show that the wavy infection curve in Japan is the result of fluctuation of policy on isolation measure imposed by the government and obeyed by citizens. Assuming the infection coefficient be a two-valued function of the number of daily confirmed new cases,...

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Autor principal: Odagaki, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820234/
https://www.ncbi.nlm.nih.gov/pubmed/33479359
http://dx.doi.org/10.1038/s41598-021-81521-z
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author Odagaki, Takashi
author_facet Odagaki, Takashi
author_sort Odagaki, Takashi
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description Exploiting the SIQR model for COVID-19, I show that the wavy infection curve in Japan is the result of fluctuation of policy on isolation measure imposed by the government and obeyed by citizens. Assuming the infection coefficient be a two-valued function of the number of daily confirmed new cases, I show that when the removal rate of infected individuals is between these two values, the wavy infection curve is self-organized. On the basis of the infection curve, I classify the outbreak of COVID-19 into five types and show that these differences can be related to the relative magnitude of the transmission coefficient and the quarantine rate of infected individuals.
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spelling pubmed-78202342021-01-22 Self-organized wavy infection curve of COVID-19 Odagaki, Takashi Sci Rep Article Exploiting the SIQR model for COVID-19, I show that the wavy infection curve in Japan is the result of fluctuation of policy on isolation measure imposed by the government and obeyed by citizens. Assuming the infection coefficient be a two-valued function of the number of daily confirmed new cases, I show that when the removal rate of infected individuals is between these two values, the wavy infection curve is self-organized. On the basis of the infection curve, I classify the outbreak of COVID-19 into five types and show that these differences can be related to the relative magnitude of the transmission coefficient and the quarantine rate of infected individuals. Nature Publishing Group UK 2021-01-21 /pmc/articles/PMC7820234/ /pubmed/33479359 http://dx.doi.org/10.1038/s41598-021-81521-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Odagaki, Takashi
Self-organized wavy infection curve of COVID-19
title Self-organized wavy infection curve of COVID-19
title_full Self-organized wavy infection curve of COVID-19
title_fullStr Self-organized wavy infection curve of COVID-19
title_full_unstemmed Self-organized wavy infection curve of COVID-19
title_short Self-organized wavy infection curve of COVID-19
title_sort self-organized wavy infection curve of covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820234/
https://www.ncbi.nlm.nih.gov/pubmed/33479359
http://dx.doi.org/10.1038/s41598-021-81521-z
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