Este trabalho faz uma análise crítica do banco de dados de mortalidade do Ministério da Saúde, utilizando para tanto os dados sobre homicídios ocorridos no município de São Paulo de 1979 a 1994. Levanta uma série de problemas detectados durante a análise, alguns conceituais e outros operacionais, apresentando sugestões de solução. Apresenta também possibilidades de análise permitidas pelas informações contidas no banco, sem a utilização de dados primários, muito pouco exploradas em estudos de mortalidade. / The aim of this study was to critically analyse the mortality data bank of the Brazilian Ministry of Health (The National Mortality System of Information), using the information on Homicides that occurred in the City of São Paulo, during the time period 1979/1994. Many problems were detected by conceptual and by the operational points of view, and suggestions, as resolutions, are given. Important possibilities to explore the death certificate information, not yet used in mortality studies, are shown and conclusions led to the fact that this information can substitute the primary one obtained in household interview or other source.

BRILHANTE, Igo Ramalho. Mobility Data under Analysis a Complex Network Perspective from Interactions Among Trajectories to Movements among Points Interest. 2012. 104 f. Dissertação (Mestrado em ciência da computação)- Universidade Federal do Ceará, Fortaleza-CE, 2012. / Submitted by Elineudson Ribeiro (elineudsonr@gmail.com) on 2016-07-28T19:53:04Z No. of bitstreams: 1 2012_dis_irbrilhante.pdf: 13581729 bytes, checksum: 9b1d7b6164309bf59f7d6ba1370cd90e (MD5) / Approved for entry into archive by José Jairo Viana de Sousa (jairo@ufc.br) on 2016-08-02T14:18:14Z (GMT) No. of bitstreams: 1 2012_dis_irbrilhante.pdf: 13581729 bytes, checksum: 9b1d7b6164309bf59f7d6ba1370cd90e (MD5) / Made available in DSpace on 2016-08-02T14:18:14Z (GMT). No. of bitstreams: 1 2012_dis_irbrilhante.pdf: 13581729 bytes, checksum: 9b1d7b6164309bf59f7d6ba1370cd90e (MD5) Previous issue date: 2012 / The explosion of personal positioning devices like GPS-enabled smartphones has enabled the collection and storage of a huge amount of positioning data in the form of trajectories. Thereby, trajectory data have brought many research challenges in the process of recovery, storage and knowledge discovery in mobility as well as new applications to support our society in mobility terms. Other research area that has been receiving great attention nowadays is the area of complex network or science of networks. Complex network is the first approach to model complex system that are present in the real world, such as economic markets, the Internet, World Wide Web and disease spreading to name a few. It has been applied in different field, like Computer Science, Biology and Physics. Therefore, complex networks have demonstrated a great potential to investigate the behavior of complex systems through their entities and the relationships that exist among them. The present dissertation, therefore, aims at exploiting approaches to analyze mobility data using a perspective of complex networks. The first exploited approach stands for the trajectories as the main entities of the networks connecting each other through a similarity function. The second, in turn, focuses on points of interest that are visited by people, which perform some activities in these points. In addition, this dissertation also exploits the proposed methodologies in order to develop a software tool to support users in mobility analysis using complex network techniques. / The explosion of personal positioning devices like GPS-enabled smartphones has enabled the collection and storage of a huge amount of positioning data in the form of trajectories. Thereby, trajectory data have brought many research challenges in the process of recovery, storage and knowledge discovery in mobility as well as new applications to support our society in mobility terms. Other research area that has been receiving great attention nowadays is the area of complex network or science of networks. Complex network is the first approach to model complex system that are present in the real world, such as economic markets, the Internet, World Wide Web and disease spreading to name a few. It has been applied in different field, like Computer Science, Biology and Physics. Therefore, complex networks have demonstrated a great potential to investigate the behavior of complex systems through their entities and the relationships that exist among them. The present dissertation, therefore, aims at exploiting approaches to analyze mobility data using a perspective of complex networks. The first exploited approach stands for the trajectories as the main entities of the networks connecting each other through a similarity function. The second, in turn, focuses on points of interest that are visited by people, which perform some activities in these points. In addition, this dissertation also exploits the proposed methodologies in order to develop a software tool to support users in mobility analysis using complex network techniques.