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A hanseniase e uma doenca antiga, e sempre foi estigmatizada devido as sequelas que causam nos portadores, bem como, sua origem socioeconomica e cultural. Dada a complexidade epidemiologica da hanseniase, conhecer a espacialidade da doenca e sua relacao com fatores sociais, culturais e ambientais pode subsidiar o planejamento de novas acoes para politicas publicas de saude. A partir de tecnicas de analise espacial e Modelos Lineares Generalizados (GLMs) o objetivo foi descrever o perfil epidemiologico dos portadores e realizar a analise espacial da hanseniase no estado do Rondonia, relacionando com variaveis socioambentais. Trata-se de um estudo quantitativo, descritivo, transversal, envolvendo os casos de hanseniase, no periodo de 2017, nos municipios de Rondonia, com dados provenientes do Sistema de Informatica em Saude do Sistema Unico de Saude (DATASUS, 2019). No ano de 2017, foram 575 notificacoes, com 95,3% com 15 anos ou mais, o sexo masculino teve uma prevalencia maior com 58,1%. O modo de entrada do paciente no sistema de assistencia a saude foi maior na categoria "caso novo" (81,9%). Entre os 52 municipios de Rondonia, apenas 11,5% (6) municipios nao apresentaram casos. A forma Dimorfa foi a mais frequente (59,3% de incidencia), com registros em 39 municipios. Os modelos lineares indicaram relacao entre as formas da doenca e o numero de casos com as variaveis demograficas e socioeconomicas analisadas: analfabetismo, renda media, destinacao sanitaria e cobertura da atencao basica em saude. Spatial analysis and epidemiological profile of leprosy as a subsidy for identifying socio-environmental risks and vulnerabilities in Rondonia, BR A B S T R A C T Leprosy is an old disease, and has always been stigmatized due to the sequelae it causes to its carriers, as well as its socioeconomic and cultural origin. Given the epidemiological complexity of leprosy, knowing the spatiality of the disease and its relationship with social, cultural and environmental factors can support the planning of new actions for public health policies. Using spatial analysis techniques and Generalized Linear Models (GLMs), the objective was to describe the epidemiological profile of patients and to carry out the spatial analysis of leprosy relating to socio-environmental variables in the state of Rondonia. This is a quantitative, descriptive, cross-sectional study, involving leprosy cases, in the period of 2017, in the municipalities of Rondonia, with data from the Health Informatics System of the Unified Health System (DATASUS, 2019). In the year 2017, there were 575 notifications, with 95.3% aged 15 years or older, males had a higher prevalence with 58.1%. The mode of entry of the patient into the health care system was higher in the "new case" category (81.9%). Among the 52 municipalities in Rondonia, only 11.5% (6) municipalities did not present any cases. The Dimorfa form was the most frequent (59.3% incidence), with records in 39 municipalities. The generalized linear models indicated a relationship between the forms of the disease and the number of cases with the demographic and socioeconomic variables analyzed: illiteracy, average income, sanitary destination, primary health care. Keywords: Neglected Diseases; Mycobacterium leprae; Public health; Epidemiology. |
