About: Identification of Patterns in Epidemic Cycles and Methods for Estimating Their Duration: COVID-19 Case Study

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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
has title	Identification of Patterns in Epidemic Cycles and Methods for Estimating Their Duration: COVID-19 Case Study
Creator	Atem De Carvalho, Eduardo Atem De Carvalho, Rogerio
Source	MedRxiv
abstract	This paper presents several epidemic cycles of COVID-19 that have practically ended in countries, states and cities and normalize them through simple and well-known numerical methods. It is evident that there is a practically universal pattern between them, in a triangular shape. It is also possible to find similar cycles with very close scales and thus use cases with cycles already closed to predict the end of the cycles still in progress. Three methods are presented and discussed and the case of the city of Rio de Janeiro, Brazil, is presented in more detail.
has issue date	2020-07-15(xsd:dateTime)
bibo:doi	10.1101/2020.07.13.20153080
has license	medrxiv
sha1sum (hex)	bd91ac82ec83bf1e8bd860cfcbc803f67aaa06af
schema:url	https://doi.org/10.1101/2020.07.13.20153080
resource representing a document's title	Identification of Patterns in Epidemic Cycles and Methods for Estimating Their Duration: COVID-19 Case Study
resource representing a document's body	covid:bd91ac82ec83bf1e8bd860cfcbc803f67aaa06af#body_text
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