1. Repositório Institucional da UFMG
  2. Publicações Científicas e Culturais
  3. Artigo de Periódico
Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/62552
Full metadata record
DC FieldValueLanguage
dc.creatorAirandes de Sousa Pintopt_BR
dc.creatorEdval Gomes Dos Santos Júniorpt_BR
dc.creatorCarlos Alberto Rodriguespt_BR
dc.creatorPaulo Cesar Mendes Nunespt_BR
dc.creatorLivia Almeida da Cruzpt_BR
dc.creatorMatheus Gomes Reis Costapt_BR
dc.creatorManoel Otávio da Costa Rochapt_BR
dc.date.accessioned2024-01-10T20:35:13Z-
dc.date.available2024-01-10T20:35:13Z-
dc.date.issued2020-
dc.citation.volume53pt_BR
dc.citation.issuee20200331pt_BR
dc.citation.spage1pt_BR
dc.citation.epage5pt_BR
dc.identifier.doi10.1590/0037-8682-0331-2020pt_BR
dc.identifier.issn16789849pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/62552-
dc.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.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentMED - DEPARTAMENTO DE CLÍNICA MÉDICApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofRevista da Sociedade Brasileira de Medicina Tropical-
dc.rightsAcesso Abertopt_BR
dc.subjectCovid-19pt_BR
dc.subjectSARS-CoV-2pt_BR
dc.subjectPolynomial interpolation method.pt_BR
dc.subject.otherCovid-19pt_BR
dc.subject.otherSARS-CoV-2pt_BR
dc.subject.otherModels, Statisticalpt_BR
dc.titleCovid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curvespt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://doi.org/10.1590/0037-8682-0331-2020pt_BR
Appears in Collections:Artigo de Periódico

Files in This Item:
File Description SizeFormat 
Covid-19 growth rate analysis pdfa.pdf6.84 MBAdobe PDFView/Open
Show simple item record


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