Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State

Detalhes bibliográficos
Autor(a) principal: Albuquerque, Mácio Augusto
Data de Publicação: 2022
Outros Autores: Nascimento, Emanuela Rodrigues do, Fidelis, Cleanderson Romualdo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/32625
Resumo: This article aims to show how a cluster analysis can be carried out, through the technical hierarchy and the non-hierarchy in the rate of infected by Covid-19 of the Brazilian states through the numbers of infected states in order to identify a similarity between the states. through the numbers of infected, offering a counterpoint to the criterion used to analyze the number of infected in the states, based on the size of the population and comparing with their Human Development Index (HDI). public and free platforms called Coronavirus//Brasil and Atlas Brasil 2013 in relation to the 2010 HDI. For the cluster analysis, the Mahalanobins matrix was used with the hierarchical method, the simple link, complete, average, ward link and a non-hierarchical method using the K-means method were also applied, the coefficient of confenetic correlation to measure the degree of fit between the original similar matrices and the matrix resulting from the simplification provided by the clustering method. However, the method that best represents the data was found to be the complete linkage method. When grouping the states of both data, it took into account the similarity between the variables of the data and the correlation where it can be observed that the data are correlated.
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spelling Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each StateUso de Técnicas de Agrupación Aplicadas al Número de Contagiados por Covid-19 en los Estados Brasileños en comparación con el IDH de cada EstadoUso das técnicas de agrupamento aplicado aos números de infectados por Covid-19 nos Estados brasileiros comparando com o IDH de cada EstadoMétodosEstados brasileirosCovid-19Cluster.MétodosEstados brasileñosCovid-19Grupo.MethodsBrazilian statesCovid-19Cluster.This article aims to show how a cluster analysis can be carried out, through the technical hierarchy and the non-hierarchy in the rate of infected by Covid-19 of the Brazilian states through the numbers of infected states in order to identify a similarity between the states. through the numbers of infected, offering a counterpoint to the criterion used to analyze the number of infected in the states, based on the size of the population and comparing with their Human Development Index (HDI). public and free platforms called Coronavirus//Brasil and Atlas Brasil 2013 in relation to the 2010 HDI. For the cluster analysis, the Mahalanobins matrix was used with the hierarchical method, the simple link, complete, average, ward link and a non-hierarchical method using the K-means method were also applied, the coefficient of confenetic correlation to measure the degree of fit between the original similar matrices and the matrix resulting from the simplification provided by the clustering method. However, the method that best represents the data was found to be the complete linkage method. When grouping the states of both data, it took into account the similarity between the variables of the data and the correlation where it can be observed that the data are correlated.Este artículo tiene como objetivo mostrar cómo se puede hacer el análisis de conglomerados, a través de la técnica jerárquica y no la jerarquía en la tasa de infectados por Covid-19 de los estados brasileños a través de los números de infectados en cada estado, para identificar las similitudes entre los estados a través de las cifras de infectados, ofreciendo un contrapunto al criterio utilizado para analizar el número de infectados en los estados, con base en el tamaño de la población y comparando con su Índice de Desarrollo Humano (IDH), plataformas públicas y gratuitas denominadas Coronavirus //Brasil y Atlas Brasil 2013 en relación al IDH 2010. Para el análisis de conglomerados se utilizó la matriz de Mahalanobins con el método jerárquico, el simple, completo, promedio, ward binding y un método no jerárquico a través del método K-means, también se aplicó el coeficiente de correlación confenético para medir el grado de ajuste entre las matrices similares originales y la matriz resultante de la simplificación proporcionada por el método de agrupamiento. Sin embargo, se encontró que el método que mejor representa los datos es el método de enlace completo. Al agrupar los estados de ambos datos se tomó en cuenta la similitud entre las variables de los datos y la correlación donde se puede observar que los datos están correlacionados.O presente artigo tem por objetivo mostrar como pode ser feita a análise de cluster, através da técnica hierárquica e não hierarquia na taxa de infectados por Covid-19 dos estados brasileiros através dos números de infectados de cada estado para assim identificar a similaridades entre os estados através dos números de infectados, oferecendo um contraponto ao critério utilizado de análise do número de infectados dos estados, se baseando no tamanho da população e comparando com seu Índice de Desenvolvimento Humano (IDH).Utilizou-se dados da Covid-19 retirado de uma plataformas públicas e gratuitas chamado Coronavírus//Brasil e o Atlas Brasil 2013 com relação ao IDH de 2010. Para a análise de agrupamento foi utilizado a matriz de Mahalanobins com o método hierárquico, aplicou-se os métodos de ligação simples, completa, média, ligação de ward e um método não hierárquico através do método de K-means, também foram aplicados o coeficiente de correlação confénetica para medir o grau de ajuste entre as matrizes similares originais e a matriz resultante da simplificação proporcionada pelo método de agrupamento. No entanto foi verificado o método que melhor representa os dados é o de ligação completa. Ao agrupar os estados de ambos os dados levou em consideração a semelhança entre as variáveis dos dados e a correlação onde pode se observar que os dados são correlacionados.Research, Society and Development2022-07-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3262510.33448/rsd-v11i10.32625Research, Society and Development; Vol. 11 No. 10; e203111032625Research, Society and Development; Vol. 11 Núm. 10; e203111032625Research, Society and Development; v. 11 n. 10; e2031110326252525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/32625/27688Copyright (c) 2022 Mácio Augusto Albuquerque; Emanuela Rodrigues do Nascimento; Cleanderson Romualdo Fidelishttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAlbuquerque, Mácio AugustoNascimento, Emanuela Rodrigues do Fidelis, Cleanderson Romualdo 2022-08-12T22:23:03Zoai:ojs.pkp.sfu.ca:article/32625Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:48:33.657721Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State
Uso de Técnicas de Agrupación Aplicadas al Número de Contagiados por Covid-19 en los Estados Brasileños en comparación con el IDH de cada Estado
Uso das técnicas de agrupamento aplicado aos números de infectados por Covid-19 nos Estados brasileiros comparando com o IDH de cada Estado
title Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State
spellingShingle Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State
Albuquerque, Mácio Augusto
Métodos
Estados brasileiros
Covid-19
Cluster.
Métodos
Estados brasileños
Covid-19
Grupo.
Methods
Brazilian states
Covid-19
Cluster.
title_short Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State
title_full Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State
title_fullStr Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State
title_full_unstemmed Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State
title_sort Use of grouping techniques applied to the numbers of infected by Covid-19 in the Brazilian States comparing with the HDI of each State
author Albuquerque, Mácio Augusto
author_facet Albuquerque, Mácio Augusto
Nascimento, Emanuela Rodrigues do
Fidelis, Cleanderson Romualdo
author_role author
author2 Nascimento, Emanuela Rodrigues do
Fidelis, Cleanderson Romualdo
author2_role author
author
dc.contributor.author.fl_str_mv Albuquerque, Mácio Augusto
Nascimento, Emanuela Rodrigues do
Fidelis, Cleanderson Romualdo
dc.subject.por.fl_str_mv Métodos
Estados brasileiros
Covid-19
Cluster.
Métodos
Estados brasileños
Covid-19
Grupo.
Methods
Brazilian states
Covid-19
Cluster.
topic Métodos
Estados brasileiros
Covid-19
Cluster.
Métodos
Estados brasileños
Covid-19
Grupo.
Methods
Brazilian states
Covid-19
Cluster.
description This article aims to show how a cluster analysis can be carried out, through the technical hierarchy and the non-hierarchy in the rate of infected by Covid-19 of the Brazilian states through the numbers of infected states in order to identify a similarity between the states. through the numbers of infected, offering a counterpoint to the criterion used to analyze the number of infected in the states, based on the size of the population and comparing with their Human Development Index (HDI). public and free platforms called Coronavirus//Brasil and Atlas Brasil 2013 in relation to the 2010 HDI. For the cluster analysis, the Mahalanobins matrix was used with the hierarchical method, the simple link, complete, average, ward link and a non-hierarchical method using the K-means method were also applied, the coefficient of confenetic correlation to measure the degree of fit between the original similar matrices and the matrix resulting from the simplification provided by the clustering method. However, the method that best represents the data was found to be the complete linkage method. When grouping the states of both data, it took into account the similarity between the variables of the data and the correlation where it can be observed that the data are correlated.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-27
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/32625
10.33448/rsd-v11i10.32625
url https://rsdjournal.org/index.php/rsd/article/view/32625
identifier_str_mv 10.33448/rsd-v11i10.32625
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/32625/27688
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. 11 No. 10; e203111032625
Research, Society and Development; Vol. 11 Núm. 10; e203111032625
Research, Society and Development; v. 11 n. 10; e203111032625
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_ 1797052769328168960

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