Análise espacial dos casos novos de hanseníase e a correlação com os indicadores socioeconômicos no Município de Vitória, ES no período de 2005 a 2009

• Ano de defesa: 2012
• Autor(a) principal: Sampaio, Poliane Barbosa
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Saúde Coletiva; Centro de Ciências da Saúde; UFES; Programa de Pós-Graduação em Saúde Coletiva
• Palavras-chave em Português: Hansen; Epidemiology; Spatial distribution; Socioeconomic factors; Distribuição espacial; Fatores socioeconômicos; Hanseníase - Vitória (ES); Epidemiologia; Indicadores econômicos; Indicadores sociais; Saúde Coletiva; 614
• Link de acesso: http://repositorio.ufes.br/handle/10/5715

Introduction. Leprosy is historically an important public health problem. In Brazil constitutes a threat to the health of the population, whereas areas of extreme poverty or poor access to health services have an increased incidence. Vitória, capital of Espírito Santo, with high rates of disease incidence with an average of 70 cases/100000 inhabitants in recent years. Leprosy is a disease with a great impact on socioeconomic indicators, questions about the relationship be true in Vitória instigated this work. Objective. Studying the spatial distribution of leprosy cases by neighborhoods of the city of Vitória and the correlation with socioeconomic indicators in the period from 2005 to 2009. Methods. An ecological study in which we used data collected on the incidence of leprosy in SINAN. Spatial analysis was performed using statistical models and calculated the incidence rate of the disease by neighborhood. Evaluation indicators of the disease were analyzed according to criteria proposed by the Ministry of Health. Results. Through thematic maps, visualized the heterogeneous spatial distribution of leprosy among the districts, it is possible to identify areas at high risk of becoming ill. The regions, São Pedro and Jabour, showed greater spatial concentration of leprsy cases by Local Empirical Bayesian method. To evaluate the effect of variable IQU the occurrence of leprosy, as well as trying to capture a possible spatial dependence from the inclusion of spatial random effects were used Fully Bayesian modeling, noting that neighborhoods with low IQU have higher detection rate leprosy than neighborhoods with high standard of IQU. This result reinforces the presence of a low IQU can facilitate the emergence of leprosy. Conclusion. It is hoped that this study will support the design of control strategies in Vitória, it indicates specific regions and priority, so typically a disease of social determination as leprosy.