About: Population modeling of early COVID-19 epidemic dynamics in French regions and estimation of the lockdown impact on infection rate

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Population modeling of early COVID-19 epidemic dynamics in French regions and estimation of the lockdown impact on infection rate Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Population modeling of early COVID-19 epidemic dynamics in French regions and estimation of the lockdown impact on infection rate
Creator	Thiébaut, Rodolphe Hejblum, Boris Wittkop, Linda Clairon, Quentin Dutartre, Dan »more»
source	MedRxiv
abstract	We propose a population approach to model the beginning of the French COVID-19 epidemic at the regional level. We rely on an extended Susceptible-Exposed-Infectious-Recovered (SEIR) mechanistic model, a simplified representation of the average epidemic process. Combining several French public datasets on the early dynamics of the epidemic, we estimate region-specific key parameters conditionally on this mechanistic model through Stochastic Approximation Expectation Maximization (SAEM) optimization using Monolix software. We thus estimate basic reproductive numbers by region before isolation (between 2.4 and 3.1), the percentage of infected people over time (between 2.0 and 5.9% as of May 11th, 2020) and the impact of nationwide household confinement on the infection rate (decreasing the transmission rate by 72% toward a Re ranging from 0.7 to 0.9). We conclude that a lifting of the lockdown should be accompanied by further interventions to avoid an epidemic rebound.
has issue date	2020-04-24(xsd:dateTime)
bibo:doi	10.1101/2020.04.21.20073536
has license	medrxiv
sha1sum (hex)	e65b73328d7f1805fba9de8331258d6c1c049b38
schema:url	https://doi.org/10.1101/2020.04.21.20073536
resource representing a document's title	Population modeling of early COVID-19 epidemic dynamics in French regions and estimation of the lockdown impact on infection rate
resource representing a document's body	covid:e65b73328d7f1805fba9de8331258d6c1c049b38#body_text
is schema:about of	named entity 'accompanied' named entity 'rebound' named entity 'infected' named entity 'French regions' named entity 'Population modeling' »more»

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software