About: Early phylodynamics analysis of the COVID-19 epidemics in France

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Early phylodynamics analysis of the COVID-19 epidemics in France
Creator	Lina, Bruno Josset, Laurence Thibault, Vincent Enouf, Vincent Behillil, Sylvie »more»
source	MedRxiv
abstract	France was one of the first countries to be reached by the COVID-19 pandemics. Here, we analyse 196 SARS-Cov-2 genomes collected between Jan 24 and Mar 24 2020, and perform a phylodynamics analysis. In particular, we analyse the doubling time, reproduction number (Rt) and infection duration associated with the epidemic wave that was detected in incidence data starting from Feb 27. We show that a slowing down of the epidemic spread can be detected in Mar, which is consistent with the implementation of the national lock-down on Mar 17. The inferred distributions for the infection duration and Rt are in line with those estimated from contact tracing data. Overall, this analysis shows the potential to use sequence genomic data to inform public health decisions in an epidemic crisis context.
has issue date	2020-06-04(xsd:dateTime)
bibo:doi	10.1101/2020.06.03.20119925
has license	medrxiv
sha1sum (hex)	0d80aef2fb71e4a35026b6118cc239e086ddb11d
schema:url	https://doi.org/10.1101/2020.06.03.20119925
resource representing a document's title	Early phylodynamics analysis of the COVID-19 epidemics in France
resource representing a document's body	covid:0d80aef2fb71e4a35026b6118cc239e086ddb11d#body_text
is schema:about of	named entity 'collected' named entity 'epidemics' named entity 'WAVE' named entity 'CONTEXT' named entity '196' »more»

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