0344/2015 - Modelo bayesiano e análise espacial da mortalidade por câncer de boca e orofaringe em minas gerais, brasil Bayesian model and spatial analysis of oral and oropharynx cancer mortality in minas gerais, brazil
• Emilio Prado Fonseca - FONSECA, EMILIO PRADO - FACULDADE DE ODONTOLOGIA DE PIRACICABA/UNICAMP, Odontologia Social e Preventiva - <emiliopraddo@ig.com.br> +
Coautor(es):
• Marcelo de Castro Meneghim - Meneghim, M.C. - Piracicaba-SP, SP - Universidade Estadual de Campinas (UNICAMP) / Faculdade de Odontologia de Piracicaba (UNICAMP), OdontologiaSocial - <meneghim@fop.unicamp.br>
• Antonio Carlos Pereira - Pereira, A.C. - Piracicaba, - Universidade Estadual de Campinas (UNICAMP) / Faculdade de Odontologia de Piracicaba (UNICAMP), OdontologiaSocial - <apereira@fop.unicamp.br> ORCID: https://orcid.org/0000-0003-1703-8171
O objetivo deste estudo foi determinar a taxa de mortalidade por cancer de boca e aplicar o Modelo Bayesiano Empírico e a Análise Espacial para suavizar a taxa bruta de mortalidade por câncer de boca e orofaringe. Foi usada Capítulo II da Classificação Internacional de Doenças (CID-10) para Categorias C00 a C14. Os dados foram extraídos do Sistema de Informações sobre Mortalidade do Brasil (SIM) do Estado de Minas Gerais. As estatísticas descritivas e as taxa bruta de mortalidade foram calculadas para cada município. Posteriormente, foram aplicados os estimadores Bayesianos Empíricos. Em 2012, em Minas Gerais, foram registradas 769 mortes para o câncer de boca e orofaringe, dos quais 607 (78,96%) eram homens e 162 (21,04%) mulheres. Houve uma grande variação na distribuição espacial da taxa de mortalidade bruta. Foi possível identificar aglomeração nas regiões Sul, Central e Norte com maior precisão pelo Estimador Bayesiano Modelo Global e Local. Através dos Modelos Bayesian foi possível mapear aglomeração espacial de mortes por câncer de boca e orofaringe com maior precisão. Assim, pela epidemiologia espacial foi possível obter resultados mais precisos e fornecer subsídios para ações para reduzir a mortalidade por deste tipo de câncer.
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 deathsoral 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 deathsthis type of cancer.
Bayesian model and spatial analysis of oral and oropharynx cancer mortality in minas gerais, brazil
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 deathsoral 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 deathsthis type of cancer.
FONSECA, EMILIO PRADO, Meneghim, M.C., Pereira, A.C., Vedovello, S.A.S, CHIARAVALLOTI NETO, F, OLIVEIRA, C. D.L. Modelo bayesiano e análise espacial da mortalidade por câncer de boca e orofaringe em minas gerais, brasil. Cien Saude Colet [periódico na internet] (2015/dez). [Citado em 22/12/2024].
Está disponível em: http://cienciaesaudecoletiva.com.br/artigos/modelo-bayesiano-e-analise-espacial-da-mortalidade-por-cancer-de-boca-e-orofaringe-em-minas-gerais-brasil/15417?id=15417
