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The scale and dynamics of COVID-19 epidemics across Europe

The number of COVID-19 deaths reported from European countries has varied more than 100-fold. In terms of coronavirus transmission, the relatively low death rates in some countries could be due to low intrinsic (e.g. low population density) or imposed contact rates (e.g. non-pharmaceutical intervent...

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Detalles Bibliográficos
Autores principales: Dye, Christopher, Cheng, Russell C. H., Dagpunar, John S., Williams, Brian G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735356/
https://www.ncbi.nlm.nih.gov/pubmed/33391818
http://dx.doi.org/10.1098/rsos.201726
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author Dye, Christopher
Cheng, Russell C. H.
Dagpunar, John S.
Williams, Brian G.
author_facet Dye, Christopher
Cheng, Russell C. H.
Dagpunar, John S.
Williams, Brian G.
author_sort Dye, Christopher
collection PubMed
description The number of COVID-19 deaths reported from European countries has varied more than 100-fold. In terms of coronavirus transmission, the relatively low death rates in some countries could be due to low intrinsic (e.g. low population density) or imposed contact rates (e.g. non-pharmaceutical interventions) among individuals, or because fewer people were exposed or susceptible to infection (e.g. smaller populations). Here, we develop a flexible empirical model (skew-logistic) to distinguish among these possibilities. We find that countries reporting fewer deaths did not generally have intrinsically lower rates of transmission and epidemic growth, and flatter epidemic curves. Rather, countries with fewer deaths locked down earlier, had shorter epidemics that peaked sooner and smaller populations. Consequently, as lockdowns were eased, we expected, and duly observed, a resurgence of COVID-19 across Europe.
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spelling pubmed-77353562020-12-31 The scale and dynamics of COVID-19 epidemics across Europe Dye, Christopher Cheng, Russell C. H. Dagpunar, John S. Williams, Brian G. R Soc Open Sci Mathematics The number of COVID-19 deaths reported from European countries has varied more than 100-fold. In terms of coronavirus transmission, the relatively low death rates in some countries could be due to low intrinsic (e.g. low population density) or imposed contact rates (e.g. non-pharmaceutical interventions) among individuals, or because fewer people were exposed or susceptible to infection (e.g. smaller populations). Here, we develop a flexible empirical model (skew-logistic) to distinguish among these possibilities. We find that countries reporting fewer deaths did not generally have intrinsically lower rates of transmission and epidemic growth, and flatter epidemic curves. Rather, countries with fewer deaths locked down earlier, had shorter epidemics that peaked sooner and smaller populations. Consequently, as lockdowns were eased, we expected, and duly observed, a resurgence of COVID-19 across Europe. The Royal Society 2020-11-25 /pmc/articles/PMC7735356/ /pubmed/33391818 http://dx.doi.org/10.1098/rsos.201726 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Dye, Christopher
Cheng, Russell C. H.
Dagpunar, John S.
Williams, Brian G.
The scale and dynamics of COVID-19 epidemics across Europe
title The scale and dynamics of COVID-19 epidemics across Europe
title_full The scale and dynamics of COVID-19 epidemics across Europe
title_fullStr The scale and dynamics of COVID-19 epidemics across Europe
title_full_unstemmed The scale and dynamics of COVID-19 epidemics across Europe
title_short The scale and dynamics of COVID-19 epidemics across Europe
title_sort scale and dynamics of covid-19 epidemics across europe
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735356/
https://www.ncbi.nlm.nih.gov/pubmed/33391818
http://dx.doi.org/10.1098/rsos.201726
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