Suicide cases in developed and emerging countries: an analysis using wavelets

Detalhes bibliográficos
Autor(a) principal: Ferreira, Leila Maria
Data de Publicação: 2021
Outros Autores: Lima, Kelly Pereira de, Morais, Augusto Ramalho de, Safadi, Thelma, Ferreira, Juliano Lino
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/50395
Resumo: Objective: The aim of this study was to use a wavelet technique to determine whether the number of suicides is similar between developed and emerging countries. Methods: Annual data were obtained from World Health Organization (WHO) reports from 1986 to 2015. Discrete nondecimated wavelet transform was used for the analysis, and the Daubechies wavelet function was applied with five-level decomposition. Regarding clustering, energy (variance) was used to analyze the clusters and visualize the clustering process. We constructed a dendrogram using the Mahalanobis distance. The number of groups was set using a specific function in the R program. Results: The cluster analysis verified the formation of four groups as follows: Japan, the United States and Brazil were distinct and isolated groups, and other countries (Austria, Belgium, Chile, Israel, Mexico, Italy and the Netherlands) constituted a single group. Conclusion: The methods utilized in this paper enabled a detailed verification of countries with similar behaviors despite very distinct socioeconomic, geographic and climate characteristics.
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spelling Suicide cases in developed and emerging countries: an analysis using waveletsCasos de suicídio em países desenvolvidos e emergentes: uma análise usando ondaletasWorld Health OrganizationMental disordersWavelet transformSuicide casesOrganização Mundial da SaúdeTranstornos mentaisTransformada de ondaletasCasos de suicídioObjective: The aim of this study was to use a wavelet technique to determine whether the number of suicides is similar between developed and emerging countries. Methods: Annual data were obtained from World Health Organization (WHO) reports from 1986 to 2015. Discrete nondecimated wavelet transform was used for the analysis, and the Daubechies wavelet function was applied with five-level decomposition. Regarding clustering, energy (variance) was used to analyze the clusters and visualize the clustering process. We constructed a dendrogram using the Mahalanobis distance. The number of groups was set using a specific function in the R program. Results: The cluster analysis verified the formation of four groups as follows: Japan, the United States and Brazil were distinct and isolated groups, and other countries (Austria, Belgium, Chile, Israel, Mexico, Italy and the Netherlands) constituted a single group. Conclusion: The methods utilized in this paper enabled a detailed verification of countries with similar behaviors despite very distinct socioeconomic, geographic and climate characteristics.Objetivo: Verificar se existe relação de similaridade entre o número de suicídio em países desenvolvidos e emergentes usando a técnica de ondaletas. Métodos: Os dados anuais foram obtidos a partir do relatório da Organização Mundial da Saúde (OMS), no período de 1986 a 2015. Para análise, foi empregada a transformada discreta não decimada de ondaleta (NDWT), a função ondaleta aplicada foi a Daubechies com cinco níveis de decomposição. Com relação ao agrupamento, utilizou-se a energia (variância) para analisar os clusters e, para a visualização do processo de clusterização, trabalhamos com o dendograma, no qual se empregou a distância de Mahalanobis. A quantidade de grupos foi definida por meio da função NbCluster. Resultados: A partir da análise de cluster, verificou-se a formação de quatros grupos. No qual, Japão e Estados Unidos e Brasil localizam-se em grupos distintos e isolados. E os demais países (Áustria, Bélgica, Chile, Israel, México, Itália e Holanda) em um único grupo. Conclusão: Utilizando esse método, foi possível verificar com mais detalhes quais países apresentaram comportamentos semelhantes, mesmo apresentando características bem distintas entre si, tanto socioeconômica, geográfica e climática.Instituto de Psiquiatria da Universidade Federal do Rio de Janeiro2022-06-29T17:28:39Z2022-06-29T17:28:39Z2021-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFERREIRA, L. M. et al. Suicide cases in developed and emerging countries: an analysis using wavelets. Jornal Brasileiro de Psiquiatria, Rio de Janeiro, v. 70, n. 3, p. 193-202, Jul./Sept. 2021. DOI: 10.1590/0047-2085000000341 .http://repositorio.ufla.br/jspui/handle/1/50395Jornal Brasileiro de Psiquiatriareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessFerreira, Leila MariaLima, Kelly Pereira deMorais, Augusto Ramalho deSafadi, ThelmaFerreira, Juliano Linoeng2022-06-29T17:28:39Zoai:localhost:1/50395Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-06-29T17:28:39Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Suicide cases in developed and emerging countries: an analysis using wavelets
Casos de suicídio em países desenvolvidos e emergentes: uma análise usando ondaletas
title Suicide cases in developed and emerging countries: an analysis using wavelets
spellingShingle Suicide cases in developed and emerging countries: an analysis using wavelets
Ferreira, Leila Maria
World Health Organization
Mental disorders
Wavelet transform
Suicide cases
Organização Mundial da Saúde
Transtornos mentais
Transformada de ondaletas
Casos de suicídio
title_short Suicide cases in developed and emerging countries: an analysis using wavelets
title_full Suicide cases in developed and emerging countries: an analysis using wavelets
title_fullStr Suicide cases in developed and emerging countries: an analysis using wavelets
title_full_unstemmed Suicide cases in developed and emerging countries: an analysis using wavelets
title_sort Suicide cases in developed and emerging countries: an analysis using wavelets
author Ferreira, Leila Maria
author_facet Ferreira, Leila Maria
Lima, Kelly Pereira de
Morais, Augusto Ramalho de
Safadi, Thelma
Ferreira, Juliano Lino
author_role author
author2 Lima, Kelly Pereira de
Morais, Augusto Ramalho de
Safadi, Thelma
Ferreira, Juliano Lino
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ferreira, Leila Maria
Lima, Kelly Pereira de
Morais, Augusto Ramalho de
Safadi, Thelma
Ferreira, Juliano Lino
dc.subject.por.fl_str_mv World Health Organization
Mental disorders
Wavelet transform
Suicide cases
Organização Mundial da Saúde
Transtornos mentais
Transformada de ondaletas
Casos de suicídio
topic World Health Organization
Mental disorders
Wavelet transform
Suicide cases
Organização Mundial da Saúde
Transtornos mentais
Transformada de ondaletas
Casos de suicídio
description Objective: The aim of this study was to use a wavelet technique to determine whether the number of suicides is similar between developed and emerging countries. Methods: Annual data were obtained from World Health Organization (WHO) reports from 1986 to 2015. Discrete nondecimated wavelet transform was used for the analysis, and the Daubechies wavelet function was applied with five-level decomposition. Regarding clustering, energy (variance) was used to analyze the clusters and visualize the clustering process. We constructed a dendrogram using the Mahalanobis distance. The number of groups was set using a specific function in the R program. Results: The cluster analysis verified the formation of four groups as follows: Japan, the United States and Brazil were distinct and isolated groups, and other countries (Austria, Belgium, Chile, Israel, Mexico, Italy and the Netherlands) constituted a single group. Conclusion: The methods utilized in this paper enabled a detailed verification of countries with similar behaviors despite very distinct socioeconomic, geographic and climate characteristics.
publishDate 2021
dc.date.none.fl_str_mv 2021-07
2022-06-29T17:28:39Z
2022-06-29T17:28:39Z
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 FERREIRA, L. M. et al. Suicide cases in developed and emerging countries: an analysis using wavelets. Jornal Brasileiro de Psiquiatria, Rio de Janeiro, v. 70, n. 3, p. 193-202, Jul./Sept. 2021. DOI: 10.1590/0047-2085000000341 .
http://repositorio.ufla.br/jspui/handle/1/50395
identifier_str_mv FERREIRA, L. M. et al. Suicide cases in developed and emerging countries: an analysis using wavelets. Jornal Brasileiro de Psiquiatria, Rio de Janeiro, v. 70, n. 3, p. 193-202, Jul./Sept. 2021. DOI: 10.1590/0047-2085000000341 .
url http://repositorio.ufla.br/jspui/handle/1/50395
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://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 Instituto de Psiquiatria da Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Psiquiatria da Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Jornal Brasileiro de Psiquiatria
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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