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

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dc.creatorAirandes de Sousa Pinto
dc.creatorEdval Gomes Dos Santos Júnior
dc.creatorCarlos Alberto Rodrigues
dc.creatorPaulo Cesar Mendes Nunes
dc.creatorLivia Almeida da Cruz
dc.creatorMatheus Gomes Reis Costa
dc.creatorManoel Otávio da Costa Rocha
dc.date.accessioned2024-01-10T20:35:13Z
dc.date.accessioned2025-09-08T23:42:15Z
dc.date.available2024-01-10T20:35:13Z
dc.date.issued2020
dc.format.mimetypepdf
dc.identifier.doi10.1590/0037-8682-0331-2020
dc.identifier.issn16789849
dc.identifier.urihttps://hdl.handle.net/1843/62552
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofRevista da Sociedade Brasileira de Medicina Tropical
dc.rightsAcesso Aberto
dc.subjectCovid-19
dc.subjectSARS-CoV-2
dc.subjectModels, Statistical
dc.subject.otherCovid-19
dc.subject.otherSARS-CoV-2
dc.subject.otherPolynomial interpolation method.
dc.titleCovid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves
dc.typeArtigo de periódico
local.citation.epage5
local.citation.issuee20200331
local.citation.spage1
local.citation.volume53
local.description.resumoIntroduction: 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.
local.publisher.countryBrasil
local.publisher.departmentMED - DEPARTAMENTO DE CLÍNICA MÉDICA
local.publisher.initialsUFMG
local.url.externahttps://doi.org/10.1590/0037-8682-0331-2020

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