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A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves
In a given country, the cumulative death toll of the first wave of the COVID-19 epidemic follows a sigmoid curve as a function of time. In most cases, the curve is well described by the Gompertz function, which is characterized by two essential parameters, the initial growth rate and the decay rate...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559235/ https://www.ncbi.nlm.nih.gov/pubmed/32899971 http://dx.doi.org/10.3390/ijerph17186487 |
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author | Rypdal, Kristoffer Rypdal, Martin |
author_facet | Rypdal, Kristoffer Rypdal, Martin |
author_sort | Rypdal, Kristoffer |
collection | PubMed |
description | In a given country, the cumulative death toll of the first wave of the COVID-19 epidemic follows a sigmoid curve as a function of time. In most cases, the curve is well described by the Gompertz function, which is characterized by two essential parameters, the initial growth rate and the decay rate as the first epidemic wave subsides. These parameters are determined by socioeconomic factors and the countermeasures to halt the epidemic. The Gompertz model implies that the total death toll depends exponentially, and hence very sensitively, on the ratio between these rates. The remarkably different epidemic curves for the first epidemic wave in Sweden and Norway and many other countries are classified and discussed in this framework, and their usefulness for the planning of mitigation strategies is discussed. |
format | Online Article Text |
id | pubmed-7559235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75592352020-10-29 A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves Rypdal, Kristoffer Rypdal, Martin Int J Environ Res Public Health Article In a given country, the cumulative death toll of the first wave of the COVID-19 epidemic follows a sigmoid curve as a function of time. In most cases, the curve is well described by the Gompertz function, which is characterized by two essential parameters, the initial growth rate and the decay rate as the first epidemic wave subsides. These parameters are determined by socioeconomic factors and the countermeasures to halt the epidemic. The Gompertz model implies that the total death toll depends exponentially, and hence very sensitively, on the ratio between these rates. The remarkably different epidemic curves for the first epidemic wave in Sweden and Norway and many other countries are classified and discussed in this framework, and their usefulness for the planning of mitigation strategies is discussed. MDPI 2020-09-06 2020-09 /pmc/articles/PMC7559235/ /pubmed/32899971 http://dx.doi.org/10.3390/ijerph17186487 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rypdal, Kristoffer Rypdal, Martin A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves |
title | A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves |
title_full | A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves |
title_fullStr | A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves |
title_full_unstemmed | A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves |
title_short | A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves |
title_sort | parsimonious description and cross-country analysis of covid-19 epidemic curves |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559235/ https://www.ncbi.nlm.nih.gov/pubmed/32899971 http://dx.doi.org/10.3390/ijerph17186487 |
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