A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
06 09 2020
Historique:
received: 06 08 2020
revised: 02 09 2020
accepted: 03 09 2020
entrez: 9 9 2020
pubmed: 10 9 2020
medline: 23 9 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 32899971
pii: ijerph17186487
doi: 10.3390/ijerph17186487
pmc: PMC7559235
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Philos Trans R Soc Lond B Biol Sci. 2015 Apr 19;370(1666):
pubmed: 25750242
Nature. 2020 Apr;580(7805):574
pubmed: 32317784
Nature. 2020 Aug;584(7820):257-261
pubmed: 32512579
EClinicalMedicine. 2020 Aug;25:100464
pubmed: 32838237

Auteurs

Kristoffer Rypdal (K)

Department of Mathematics and Statistics, UiT-The Arctic University of Norway, 9019 Tromso, Norway.

Martin Rypdal (M)

Department of Mathematics and Statistics, UiT-The Arctic University of Norway, 9019 Tromso, Norway.

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Classifications MeSH