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: Jornal Brasileiro de Psiquiatria (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0047-20852021000300193
Resumo: ABSTRACT 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 waveletsWorld Health Organizationmental disorderswavelet transformclustersABSTRACT 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.Instituto de Psiquiatria da Universidade Federal do Rio de Janeiro2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0047-20852021000300193Jornal Brasileiro de Psiquiatria v.70 n.3 2021reponame:Jornal Brasileiro de Psiquiatria (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/0047-2085000000341info:eu-repo/semantics/openAccessFerreira,Leila MariaLima,Kelly Pereira deMorais,Augusto Ramalho deSafadi,ThelmaFerreira,Juliano Linoeng2021-11-23T00:00:00Zoai:scielo:S0047-20852021000300193Revistahttp://portalrev.enfermagem.bvs.br/index.php?issn=0047-2085&lang=ptONGhttps://old.scielo.br/oai/scielo-oai.php||editora@ipub.ufrj.br1982-02080047-2085opendoar:2021-11-23T00:00Jornal Brasileiro de Psiquiatria (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Suicide cases in developed and emerging countries: an analysis using wavelets
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
clusters
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
clusters
topic World Health Organization
mental disorders
wavelet transform
clusters
description ABSTRACT 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 2021-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0047-20852021000300193
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0047-20852021000300193
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0047-2085000000341
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
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 v.70 n.3 2021
reponame:Jornal Brasileiro de Psiquiatria (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Jornal Brasileiro de Psiquiatria (Online)
collection Jornal Brasileiro de Psiquiatria (Online)
repository.name.fl_str_mv Jornal Brasileiro de Psiquiatria (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv ||editora@ipub.ufrj.br
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