About: Using different epidemiological models to modeling the epidemic dynamics in Brazil

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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	Using different epidemiological models to modeling the epidemic dynamics in Brazil
Creator	Camara E Silva, Lucio Coutinho, Artur De Alcantara, Pyrrho Galdino Da Rocha Pitta, Maira Ravellys, Lucas »more»
source	MedRxiv
abstract	In this paper we provide forecasts of the cumulative number of confirmed reported cases in Brazil, specifically in Pernambuco and Ceara, by using the generalized logistic growth model, the Richards growth model and Susceptible, Un-quanrantined infected, Quarantined infected, Confirmed infected (SUQC) phenomenological model. We rely on the Nash-Sutcliffe efficiency (NSE), root-mean-square error (RMSE) and mean absolute relative error (MARE) to quantify the quality of the models fits during the calibrationAll of these analyzes have been valid until the present date, April 14, 2020. The different models provide insights of our scenario predictions.
has issue date	2020-05-02(xsd:dateTime)
bibo:doi	10.1101/2020.04.29.20085100
has license	medrxiv
sha1sum (hex)	a015798bce0ff1ec45410ecb6a5ee623813a450f
schema:url	https://doi.org/10.1101/2020.04.29.20085100
resource representing a document's title	Using different epidemiological models to modeling the epidemic dynamics in Brazil
resource representing a document's body	covid:a015798bce0ff1ec45410ecb6a5ee623813a450f#body_text
is schema:about of	named entity 'cases' named entity 'relative error' named entity 'Pernambuco' named entity 'fits' named entity 'infected' »more»

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