Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-03-03T20:21:59Z No. of bitstreams: 1 ThiagoDeMedeirosDantas_DISSERT.pdf: 2539125 bytes, checksum: d9f91d3c0f674f652ace90ee808ec964 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-03-08T21:35:27Z (GMT) No. of bitstreams: 1 ThiagoDeMedeirosDantas_DISSERT.pdf: 2539125 bytes, checksum: d9f91d3c0f674f652ace90ee808ec964 (MD5) / Made available in DSpace on 2016-03-08T21:35:27Z (GMT). No. of bitstreams: 1 ThiagoDeMedeirosDantas_DISSERT.pdf: 2539125 bytes, checksum: d9f91d3c0f674f652ace90ee808ec964 (MD5) Previous issue date: 2014-07-31 / Esta disserta??o foi desenvolvida considerando a elabora??o de dois artigos cient?ficos, ambos relacionados ? mortalidade no Brasil. No primeiro artigo, objetivou-se analisar a mortalidade segundo os tr?s grandes grupos de causa de morte nas capitais brasileiras. No segundo artigo, construiu-se uma tipologia para os munic?pios nordestinos levando em conta informa??es sobre mortalidade por causas externas e um conjunto de indicadores relacionados aos aspectos socioecon?micos, demogr?ficos e de infraestrutura de tais munic?pios, ambos artigos para os anos de 2000 e 2010. Desta forma, utilizaram-se os dados do Sistema de Informa??es sobre Mortalidade do Minist?rio da Sa?de. Ademais, fez-se uso das informa??es dos Censos Demogr?ficos para aqueles anos. As vari?veis referentes ?s condi??es socioecon?micas e demogr?ficas usadas neste trabalho foram aquelas dispon?veis na home-page do Programa das Na??es Unidas para o Desenvolvimento. Utilizou-se no Artigo 1 o m?todo de distribui??o pro-rata para realizar a redistribui??o dos ?bitos por causas mal definidas. Ademais, fez-se uso da t?cnica de analise de cluster com o objetivo de agrupar as capitais que apresentavam propor??es de ?bitos por causas mal definidas similares entre si.. J? no Artigo 2, utilizaram-se a t?cnica de estima??o Bayesiana Emp?rica; as t?cnicas de estat?stica espacial e; por fim, o m?todo Grade of Membership para encontrar tipologias dos munic?pios a partir de informa??es sobre mortalidade por causas externas associadas ?s vari?veis socioecon?micas, demogr?ficas e de infraestrutura. Quanto aos principais resultados, destaca-se no Artigo 1 que, em rela??o a qualidade dos dados, observou-se a forma??o de quatro grupos de capitais similares entre si, quanto a propor??o de causas mal definidas. Com rela??o ao comportamento da mortalidade, segundo os tr?s grandes grupos de causa de morte, notou-se tanto para o ano de 2000 como para 2010 a preval?ncia dos ?bitos por doen?as n?o transmiss?veis para ambos os sexos, apesar de ter sido identificado a redu??o das taxas em algumas das capitais. As doen?as transmiss?veis se destacaram como a segunda causa de morte entre as mulheres. Tamb?m, foi poss?vel verificar que os ?bitos por causas externas s?o respons?veis pela segunda causa de morte entre os homens, al?m de apresentar um aumento entre as mulheres. J? quanto ao Artigo 2, destaca-se, em linhas gerais, n?o s? uma amplia??o das taxas de mortalidade por causas externas nos munic?pios, como tamb?m, uma amplia??o da mancha configuradora de exist?ncia de mortes por causas externas para toda a ?rea da regi?o Nordeste. Em rela??o ? tipologia dos munic?pios, constru?ram-se tr?s perfis extremos: o Perfil 1, que congrega munic?pios com altas taxas de mortalidade por causas externas e os melhores indicadores sociais; o Perfil 2, composto por munic?pios que se caracterizam por iv apresentar reduzidas taxas de mortalidade por causas externas e os mais baixos indicadores sociais; e o Perfil 3, que agrupa munic?pios com intermedi?rias taxas de mortalidade e valores considerados medianos em rela??o aos indicadores sociais. Embora n?o se tenha verificado mudan?as nas caracter?sticas dos perfis, observou-se o aumento da propor??o dos munic?pios que pertencem ao Perfil extremo 3, levando em considera??o os perfis mistos. / This dissertation considered the development of two papers, both related to mortality in Brazil. In the first article, "The context of mortality according to the three broad groups of causes of death in Brazilian capitals, 2000 and 2010", the objective was to analyze the mortality rate according to the three major groups of causes of death in Brazilian capitals. In the second article, "Typology and characteristics of mortality from external causes in the municipalities in the Northeast of Brazil, 2000 and 2010", it was built up a typology for the Northeastern municipalities taking into account information on mortality from external causes and a set of indicators related to socioeconomic, demographic, and infrastructure aspects of such municipalities, both articles for the years 2000 and 2010. Thus, we used data from the Mortality Information System of the Ministry of Health. Furthermore, it was used information from the Demographic Census for those years. The variables relating to socioeconomic and demographic conditions used in this study were those available on the home page of the United Nations Program for Development. The variables relating to socioeconomic and demographic conditions used in this study were those available on the home page of the United Nations Program for Development. Was used in Article 1 the pro-rata distribution method to accomplish the redistribution of ill-defined causes. Moreover, made use of the technique of cluster analysis with the aim of grouping the capital that had proportions of deaths from ill-defined causes similar to each other. Already in Section 2, we used the technique of Empirical Bayesian estimation; spatial statistics technique; and finally, the Grade of Membership method to find types of municipalities from information on mortality from external causes associated with socioeconomic, demographic and infrastructure variables. As the main results, it stands out in Article 1, in relation to data quality, we observed the formation of four groups of similar capital between themselves, as the proportion of illdefined causes. Regarding the behavior of mortality, according to the three major groups of causes of death, it was noted both for 2000 and for 2010 the prevalence of deaths from noncommunicable diseases for both sexes, although the reduction was identified rates in some of the capitals. Communicable diseases stood out as the second cause of death among women. Also, we found that deaths due to external causes are responsible for the second cause of death among men, as well as presenting an increase among women. As for the Article 2, stands out, in general, not just an extension of mortality from external causes in the municipalities, as well as an enlargement of the configurator stain existence of external cause deaths for the whole area of Northeast. Regarding the typology of municipalities, three vi extreme profiles were buit: the profile 1, which comprises municipalities with high rates of mortality from external causes and the best social indicators; the profile 2, that was composed of municipalities that are characterized by having low mortality rates from external causes and the lowest social indicators; and the profile 3, that brings together municipalities with intermediate mortality rates and median values considered in relation to social indicators. Although we have not seen changes in the characteristics of the profiles, we observed an increase in the proportion of municipalities that belong to the extreme profile 3, taking into account the mixed profiles.