Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | http://hdl.handle.net/1843/62552 |
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. |
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2024-01-10T20:35:13Z2024-01-10T20:35:13Z202053e202003311510.1590/0037-8682-0331-202016789849http://hdl.handle.net/1843/62552Introduction: 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.engUniversidade Federal de Minas GeraisUFMGBrasilMED - DEPARTAMENTO DE CLÍNICA MÉDICARevista da Sociedade Brasileira de Medicina TropicalCovid-19SARS-CoV-2Models, StatisticalCovid-19SARS-CoV-2Polynomial interpolation method.Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curvesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://doi.org/10.1590/0037-8682-0331-2020Airandes de Sousa PintoEdval Gomes Dos Santos JúniorCarlos Alberto RodriguesPaulo Cesar Mendes NunesLivia Almeida da CruzMatheus Gomes Reis CostaManoel Otávio da Costa Rochaapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/62552/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALCovid-19 growth rate analysis pdfa.pdfCovid-19 growth rate analysis pdfa.pdfapplication/pdf7006679https://repositorio.ufmg.br/bitstream/1843/62552/2/Covid-19%20growth%20rate%20analysis%20pdfa.pdfcfc4f4c8f6fae34957858abf9647d3e2MD521843/625522024-01-10 17:38:01.505oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2024-01-10T20:38:01Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves |
title |
Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves |
spellingShingle |
Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves Airandes de Sousa Pinto Covid-19 SARS-CoV-2 Polynomial interpolation method. Covid-19 SARS-CoV-2 Models, Statistical |
title_short |
Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves |
title_full |
Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves |
title_fullStr |
Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves |
title_full_unstemmed |
Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves |
title_sort |
Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves |
author |
Airandes de Sousa Pinto |
author_facet |
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 |
author_role |
author |
author2 |
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 |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
Covid-19 SARS-CoV-2 Polynomial interpolation method. |
topic |
Covid-19 SARS-CoV-2 Polynomial interpolation method. Covid-19 SARS-CoV-2 Models, Statistical |
dc.subject.other.pt_BR.fl_str_mv |
Covid-19 SARS-CoV-2 Models, Statistical |
description |
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. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020 |
dc.date.accessioned.fl_str_mv |
2024-01-10T20:35:13Z |
dc.date.available.fl_str_mv |
2024-01-10T20:35:13Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/62552 |
dc.identifier.doi.pt_BR.fl_str_mv |
10.1590/0037-8682-0331-2020 |
dc.identifier.issn.pt_BR.fl_str_mv |
16789849 |
identifier_str_mv |
10.1590/0037-8682-0331-2020 16789849 |
url |
http://hdl.handle.net/1843/62552 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Revista da Sociedade Brasileira de Medicina Tropical |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.publisher.initials.fl_str_mv |
UFMG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
MED - DEPARTAMENTO DE CLÍNICA MÉDICA |
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Universidade Federal de Minas Gerais |
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