1. Repositório Institucional da UFMG
2. Publicações Científicas e Culturais
3. Artigo de Periódico

Type:	Artigo de Periódico
Title:	Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves
Authors:	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
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.
Subject:	Covid-19 SARS-CoV-2 Models, Statistical
language:	eng
metadata.dc.publisher.country:	Brasil
Publisher:	Universidade Federal de Minas Gerais
Publisher Initials:	UFMG
metadata.dc.publisher.department:	MED - DEPARTAMENTO DE CLÍNICA MÉDICA
Rights:	Acesso Aberto
metadata.dc.identifier.doi:	10.1590/0037-8682-0331-2020
URI:	http://hdl.handle.net/1843/62552
Issue Date:	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
Appears in Collections:	Artigo de Periódico

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.