About: A simple Stochastic model for the SARS-CoV-2 Epidemic curve

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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	A simple Stochastic model for the SARS-CoV-2 Epidemic curve
Creator	Diógenes, A Parigot De Souza, Viriato Pedro, R Tedesco, D
source	MedRxiv
abstract	An epidemic curve is a graphic depiction of the number of outbreak cases by date of illness onset, ordinarily constructed after the disease outbreak is over. However, a good estimate of the epidemic curve early in an outbreak would be invaluable to health care officials. On the other hand, from the end of February, the SARS-CoV-2 epidemic in Brazil seems to not following the Europe, or in particular, Italy or Spain. Even if less tests have been applied, there are less deaths occurring in Brazil than in both cited countries. However, due to the few applied tests, there is no certain planning on the real number of active cases. To estimate the number of future cases, epidemiologists make an educated guess as to how many people might become affected. We have proposed a simple fitting model using a simulated annealing technique, testing it with the South Korea data. We have tested and discussed the uncertainties of the model. We also have analyzed the trends in the confirmed cases using this model for the five most affected countries plus Brazil along several epidemic weeks.
has issue date	2020-05-29(xsd:dateTime)
bibo:doi	10.1101/2020.05.29.20116723
has license	medrxiv
sha1sum (hex)	a59d8354b07bc9b4b69558fa73e680360f8070dc
schema:url	https://doi.org/10.1101/2020.05.29.20116723
resource representing a document's title	A simple Stochastic model for the SARS-CoV-2 Epidemic curve
resource representing a document's body	covid:a59d8354b07bc9b4b69558fa73e680360f8070dc#body_text
is schema:about of	named entity 'data' named entity 'Brazil' named entity 'epidemic curve' named entity 'epidemic' named entity 'tested' »more»

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