Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil

Detalhes bibliográficos
Autor(a) principal: Fonseca,Emílio Prado da
Data de Publicação: 2018
Outros Autores: Oliveira,Cláudia Di Lorenzo, Chiaravalloti Neto,Francisco, Pereira,Antonio Carlos, Vedovello,Silvia Amélia Scudeler, Meneghim,Marcelo de Castro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência & Saúde Coletiva (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232018000100153
Resumo: Abstract The objective of this study was to determine of oral and oropharynx cancer mortality rate and the results were analyzed by applying the Spatial Analysis of Empirical Bayesian Model. To this end, we used the information contained in the International Classification of Diseases (ICD-10), Chapter II, Category C00 to C14 and Brazilian Mortality Information System (SIM) of Minas Gerais State. Descriptive statistics were observed and the gross rate of mortality was calculated for each municipality. Then Empirical Bayesian estimators were applied. The results showed that, in 2012, in the state of Minas Gerais, were registered 769 deaths of patients with cancer of oral and oropharynx, with 607 (78.96%) men and 162 (21.04%) women. There was a wide variation in spatial distribution of crude mortality rate and were identified agglomeration in the South, Central and North more accurately by Bayesian Estimator Global and Local Model. Through Bayesian models was possible to map the spatial clustering of deaths from oral cancer more accurately, and with the application of the method of spatial epidemiology, it was possible to obtain more accurate results and provide subsidies to reduce the number of deaths from this type of cancer.
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spelling Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, BrazilOral cancerMortalityEpidemiologyBayesian AnalysisAbstract The objective of this study was to determine of oral and oropharynx cancer mortality rate and the results were analyzed by applying the Spatial Analysis of Empirical Bayesian Model. To this end, we used the information contained in the International Classification of Diseases (ICD-10), Chapter II, Category C00 to C14 and Brazilian Mortality Information System (SIM) of Minas Gerais State. Descriptive statistics were observed and the gross rate of mortality was calculated for each municipality. Then Empirical Bayesian estimators were applied. The results showed that, in 2012, in the state of Minas Gerais, were registered 769 deaths of patients with cancer of oral and oropharynx, with 607 (78.96%) men and 162 (21.04%) women. There was a wide variation in spatial distribution of crude mortality rate and were identified agglomeration in the South, Central and North more accurately by Bayesian Estimator Global and Local Model. Through Bayesian models was possible to map the spatial clustering of deaths from oral cancer more accurately, and with the application of the method of spatial epidemiology, it was possible to obtain more accurate results and provide subsidies to reduce the number of deaths from this type of cancer.ABRASCO - Associação Brasileira de Saúde Coletiva2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232018000100153Ciência & Saúde Coletiva v.23 n.1 2018reponame:Ciência & Saúde Coletiva (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1413-81232018231.17022015info:eu-repo/semantics/openAccessFonseca,Emílio Prado daOliveira,Cláudia Di LorenzoChiaravalloti Neto,FranciscoPereira,Antonio CarlosVedovello,Silvia Amélia ScudelerMeneghim,Marcelo de Castroeng2017-12-19T00:00:00Zoai:scielo:S1413-81232018000100153Revistahttp://www.cienciaesaudecoletiva.com.brhttps://old.scielo.br/oai/scielo-oai.php||cienciasaudecoletiva@fiocruz.br1678-45611413-8123opendoar:2017-12-19T00:00Ciência & Saúde Coletiva (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
title Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
spellingShingle Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
Fonseca,Emílio Prado da
Oral cancer
Mortality
Epidemiology
Bayesian Analysis
title_short Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
title_full Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
title_fullStr Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
title_full_unstemmed Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
title_sort Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
author Fonseca,Emílio Prado da
author_facet Fonseca,Emílio Prado da
Oliveira,Cláudia Di Lorenzo
Chiaravalloti Neto,Francisco
Pereira,Antonio Carlos
Vedovello,Silvia Amélia Scudeler
Meneghim,Marcelo de Castro
author_role author
author2 Oliveira,Cláudia Di Lorenzo
Chiaravalloti Neto,Francisco
Pereira,Antonio Carlos
Vedovello,Silvia Amélia Scudeler
Meneghim,Marcelo de Castro
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Fonseca,Emílio Prado da
Oliveira,Cláudia Di Lorenzo
Chiaravalloti Neto,Francisco
Pereira,Antonio Carlos
Vedovello,Silvia Amélia Scudeler
Meneghim,Marcelo de Castro
dc.subject.por.fl_str_mv Oral cancer
Mortality
Epidemiology
Bayesian Analysis
topic Oral cancer
Mortality
Epidemiology
Bayesian Analysis
description Abstract The objective of this study was to determine of oral and oropharynx cancer mortality rate and the results were analyzed by applying the Spatial Analysis of Empirical Bayesian Model. To this end, we used the information contained in the International Classification of Diseases (ICD-10), Chapter II, Category C00 to C14 and Brazilian Mortality Information System (SIM) of Minas Gerais State. Descriptive statistics were observed and the gross rate of mortality was calculated for each municipality. Then Empirical Bayesian estimators were applied. The results showed that, in 2012, in the state of Minas Gerais, were registered 769 deaths of patients with cancer of oral and oropharynx, with 607 (78.96%) men and 162 (21.04%) women. There was a wide variation in spatial distribution of crude mortality rate and were identified agglomeration in the South, Central and North more accurately by Bayesian Estimator Global and Local Model. Through Bayesian models was possible to map the spatial clustering of deaths from oral cancer more accurately, and with the application of the method of spatial epidemiology, it was possible to obtain more accurate results and provide subsidies to reduce the number of deaths from this type of cancer.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
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=S1413-81232018000100153
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-81232018231.17022015
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 ABRASCO - Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv ABRASCO - Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Ciência & Saúde Coletiva v.23 n.1 2018
reponame:Ciência & Saúde Coletiva (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
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reponame_str Ciência & Saúde Coletiva (Online)
collection Ciência & Saúde Coletiva (Online)
repository.name.fl_str_mv Ciência & Saúde Coletiva (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||cienciasaudecoletiva@fiocruz.br
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