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Tipo:	Artigo de Periódico
Título:	Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves
Autor(es):	Airandes de Sousa Pinto Edval Gomes Dos Santos Júnior Carlos Alberto Rodrigues Paulo Cesar Mendes Nunes Livia Almeida da Cruz Matheus Gomes Reis Costa Manoel Otávio da Costa Rocha
Resumo:	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.
Assunto:	Covid-19 SARS-CoV-2 Models, Statistical
Idioma:	eng
País:	Brasil
Editor:	Universidade Federal de Minas Gerais
Sigla da Instituição:	UFMG
Departamento:	MED - DEPARTAMENTO DE CLÍNICA MÉDICA
Tipo de Acesso:	Acesso Aberto
Identificador DOI:	10.1590/0037-8682-0331-2020
URI:	http://hdl.handle.net/1843/62552
Data do documento:	2020
metadata.dc.url.externa:	https://doi.org/10.1590/0037-8682-0331-2020
metadata.dc.relation.ispartof:	Revista da Sociedade Brasileira de Medicina Tropical
Aparece nas coleções:	Artigo de Periódico

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