About: Analyzing Covid-19 Data using SIRD Models

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Analyzing Covid-19 Data using SIRD Models
Creator	Desvars-Larrive, Amélie Garcia, David Klimek, Peter Lasser, Jana Turchin, Peter »more»
source	MedRxiv
abstract	The goal of this analysis is to estimate the effects of the diverse government intervention measures implemented to mitigate the spread of the Covid-19 epidemic. We use a process model based on a compartmental epidemiological framework Susceptible-Infected-Recovered-Dead (SIRD). Analysis of case data with such a mechanism-based model has advantages over purely phenomenological approaches because the parameters of the SIRD model can be calibrated using prior knowledge. This approach can be used to investigate how governmental interventions have affected the Covid-19-related transmission and mortality rate during the epidemic.
has issue date	2020-05-30(xsd:dateTime)
bibo:doi	10.1101/2020.05.28.20115527
has license	medrxiv
sha1sum (hex)	2ba67aeb472e3b3e1255bde25a7c1f1ec67e6a08
schema:url	https://doi.org/10.1101/2020.05.28.20115527
resource representing a document's title	Analyzing Covid-19 Data using SIRD Models
resource representing a document's body	covid:2ba67aeb472e3b3e1255bde25a7c1f1ec67e6a08#body_text
is schema:about of	named entity 'This' named entity 'compartmental' named entity 'advantages' named entity 'epidemiological' named entity 'INFECTED' »more»

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