About: Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves

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About: Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves 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
has title	Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves
Creator	Costa, Reis Carlos, Alberto Rodrigues, Almeida Da Cruz, Livia Cesar, Paulo De, Airandes Gomes, Edval Gomes, Matheus Júnior, Santos Nunes, Mendes Otávio Da Costa Rocha, Manoel Pinto, Sousa
Source	Medline; PMC
abstract	INTRODUCTION: The acceleration of new cases is important for the characterization and comparison of epidemic curves. The objective of this study was to quantify the acceleration of daily confirmed cases and death curves using the polynomial interpolation method. METHODS: Covid-19 epidemic curves from Brazil, Germany, the United States, and Russia were obtained. We calculated the instantaneous acceleration of the curve using the first derivative of the representative polynomial. RESULTS: The acceleration for all curves was obtained. CONCLUSIONS: Incorporating acceleration into an analysis of the Covid-19 time series may enable a better understanding of the epidemiological situation.
has issue date	2020-07-06(xsd:dateTime)
bibo:doi	10.1590/0037-8682-0331-2020
bibo:pmid	32638889
has license	cc-by
sha1sum (hex)	8f96be050e05ae3d3ae6becb0ea8f836df54d56d
schema:url	https://doi.org/10.1590/0037-8682-0331-2020
resource representing a document's title	Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves
has PubMed Central identifier	PMC7341827
has PubMed identifier	32638889
schema:publication	Revista da Sociedade Brasileira de Medicina Tropical
resource representing a document's body	covid:8f96be050e05ae3d3ae6becb0ea8f836df54d56d#body_text
is schema:about of	named entity 'Results' named entity 'time series' named entity 'objective' named entity 'epidemic' named entity 'curves' named entity 'Introduction' named entity 'Brazil' named entity 'United States' named entity 'Covid-19' named entity 'Covid-19' named entity 'epidemic' named entity 'epidemic' named entity 'Covid-19' named entity 'predictive models' named entity '2.7' named entity 'epidemic curve' named entity 'Covid-19' named entity 'Covid-19' named entity 'Brazil' named entity 'stage of death' named entity 'Germany' named entity 'suffi' named entity 'cation' named entity 'Gaussian distribution' named entity 'Polynomial interpolation' named entity 'Brazil' named entity 'Covid-19' named entity 'COVID-19' named entity 'Brazil' named entity 'roots of the polynomial' named entity 'Germany' named entity 'polynomial' named entity 'Germany' named entity 'growth curves' named entity 'MATLAB' named entity 'Russia' named entity 'Brazil' named entity '1.6' named entity 'United States' named entity 'growth phase' named entity 'Germany' named entity '11.5' named entity 'polynomial' named entity 'exponential growth model' named entity 'time series' named entity 'number of new cases' named entity 'Brazil' named entity 'Germany' named entity 'epidemic curve' named entity 'Brazil' named entity 'exponential function' named entity 'mitral stenosis' named entity 'differential calculus' named entity 'social isolation' named entity 'time series' named entity 'Germany' named entity 'positive or negative' named entity 'Russia' named entity 'polynomial' named entity 'Brazil' named entity 'polynomial interpolation' named entity 'exponential functions' named entity 'composite function' named entity 'n-1' named entity 'moving average' named entity 'low-complexity' named entity 'polynomial interpolation' named entity 'Germany' named entity 'acceleration' named entity 'epidemiological'

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