Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil

Detalhes bibliográficos
Autor(a) principal: Alves, Henrique José de Paula
Data de Publicação: 2021
Outros Autores: Fernandes, Felipe Augusto, Lima, Kelly Pereira de, Batista, Ben Dêivide de Oliveira, Fernandes, Tales Jesus
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/13472
Resumo: The COVID-19 pandemic spread quickly around the world in a frightening way. In Brazil, the third country in the world with the highest number of people infected and killed by the disease, it is important that the government health authorities identify the federation units that stand out in cases and deaths due to this disease for targeting resources. The Local Moran Index is a statistical tool that estimates those units of the federation that stands out the most with some statistical significance. We used the epidemiological coefficients of incidence, prevalence, and lethality to describe Brazil’s pandemic better today. We use R software to obtain maps and results.
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spelling Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil Índice de Moran local: una aplicación en coeficientes epidemiológicos de la pandemia COVID-19 en BrasilÍndice de Moran Local: uma aplicação em coeficientes epidemiológicos da pandemia de COVID-19 no BrasilBrasilCOVID-19Coeficientes epidemiológicos,Índice de Moran local.BrasilCOVID-19Coeficientes epidemiológicosÍndice de Moran local.BrazilCOVID-19Epidemiological coefficientsLocal Moran Index.The COVID-19 pandemic spread quickly around the world in a frightening way. In Brazil, the third country in the world with the highest number of people infected and killed by the disease, it is important that the government health authorities identify the federation units that stand out in cases and deaths due to this disease for targeting resources. The Local Moran Index is a statistical tool that estimates those units of the federation that stands out the most with some statistical significance. We used the epidemiological coefficients of incidence, prevalence, and lethality to describe Brazil’s pandemic better today. We use R software to obtain maps and results.La pandemia de COVID-19 se ha extendido rápidamente por todo el mundo de una manera aterradora. En Brasil, el tercer país del mundo con mayor número de infectados y muertos por la enfermedad, es importante que las autoridades gubernamentales de salud identifiquen las unidades de la federación que se destacan en los casos y muertes por esta enfermedad para la focalización de recursos. El Índice de Moran Local es una herramienta estadística que estima las unidades de la federación que más se destacan con alguna significación estadística. Usamos los coeficientes epidemiológicos de incidencia, prevalencia y letalidad para describir mejor la pandemia en Brasil hoy. Usamos el software R para obtener los mapas y resultados.A pandemia da COVID-19 se espalhou rapidamente pelo mundo de uma forma assustadora. No Brasil, terceiro país do mundo com maior número de infectados e mortos pela doença, é importante que as autoridades sanitárias governamentais identifiquem as unidades da federação que se destacam nos casos e óbitos por essa doença para o direcionamento dos recursos. O Índice de Moran Local é uma ferramenta estatística que estima as unidades da federação que mais se destacam com alguma significância estatística. Usamos os coeficientes epidemiológicos de incidência, prevalência e letalidade para descrever melhor a pandemia no Brasil hoje. Usamos o software R para obter os mapas e resultados.Research, Society and Development2021-03-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1347210.33448/rsd-v10i3.13472Research, Society and Development; Vol. 10 No. 3; e27810313472Research, Society and Development; Vol. 10 Núm. 3; e27810313472Research, Society and Development; v. 10 n. 3; e278103134722525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/13472/11984Copyright (c) 2021 Henrique José de Paula Alves; Felipe Augusto Fernandes; Kelly Pereira de Lima; Ben Dêivide de Oliveira Batista; Tales Jesus Fernandeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAlves, Henrique José de Paula Fernandes, Felipe AugustoLima, Kelly Pereira de Batista, Ben Dêivide de OliveiraFernandes, Tales Jesus2021-03-28T12:03:35Zoai:ojs.pkp.sfu.ca:article/13472Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:34:48.456400Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil
Índice de Moran local: una aplicación en coeficientes epidemiológicos de la pandemia COVID-19 en Brasil
Índice de Moran Local: uma aplicação em coeficientes epidemiológicos da pandemia de COVID-19 no Brasil
title Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil
spellingShingle Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil
Alves, Henrique José de Paula
Brasil
COVID-19
Coeficientes epidemiológicos,
Índice de Moran local.
Brasil
COVID-19
Coeficientes epidemiológicos
Índice de Moran local.
Brazil
COVID-19
Epidemiological coefficients
Local Moran Index.
title_short Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil
title_full Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil
title_fullStr Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil
title_full_unstemmed Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil
title_sort Local Moran Index: an application in epidemiological coefficients of the COVID-19 pandemic in Brazil
author Alves, Henrique José de Paula
author_facet Alves, Henrique José de Paula
Fernandes, Felipe Augusto
Lima, Kelly Pereira de
Batista, Ben Dêivide de Oliveira
Fernandes, Tales Jesus
author_role author
author2 Fernandes, Felipe Augusto
Lima, Kelly Pereira de
Batista, Ben Dêivide de Oliveira
Fernandes, Tales Jesus
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Alves, Henrique José de Paula
Fernandes, Felipe Augusto
Lima, Kelly Pereira de
Batista, Ben Dêivide de Oliveira
Fernandes, Tales Jesus
dc.subject.por.fl_str_mv Brasil
COVID-19
Coeficientes epidemiológicos,
Índice de Moran local.
Brasil
COVID-19
Coeficientes epidemiológicos
Índice de Moran local.
Brazil
COVID-19
Epidemiological coefficients
Local Moran Index.
topic Brasil
COVID-19
Coeficientes epidemiológicos,
Índice de Moran local.
Brasil
COVID-19
Coeficientes epidemiológicos
Índice de Moran local.
Brazil
COVID-19
Epidemiological coefficients
Local Moran Index.
description The COVID-19 pandemic spread quickly around the world in a frightening way. In Brazil, the third country in the world with the highest number of people infected and killed by the disease, it is important that the government health authorities identify the federation units that stand out in cases and deaths due to this disease for targeting resources. The Local Moran Index is a statistical tool that estimates those units of the federation that stands out the most with some statistical significance. We used the epidemiological coefficients of incidence, prevalence, and lethality to describe Brazil’s pandemic better today. We use R software to obtain maps and results.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/13472
10.33448/rsd-v10i3.13472
url https://rsdjournal.org/index.php/rsd/article/view/13472
identifier_str_mv 10.33448/rsd-v10i3.13472
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/13472/11984
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 3; e27810313472
Research, Society and Development; Vol. 10 Núm. 3; e27810313472
Research, Society and Development; v. 10 n. 3; e27810313472
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052672520486912

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