Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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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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 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232018000100153 |
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) instacron:ABRASCO |
instname_str |
Associação Brasileira de Saúde Coletiva (ABRASCO) |
instacron_str |
ABRASCO |
institution |
ABRASCO |
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 |
_version_ |
1754213041379999744 |