RESUMO
Studies have demonstrated that the geographical distribution of leprosy is related to different socioeconomic factors. This article aims to study the geographical distribution of leprosy in the state of Rio de Janeiro. The cases of leprosy reported in the 2001-2012 period were mapped according to municipality. Epidemiological and socioeconomic indicators were calculated. The ArcMap program was used for the construction of maps and Earth View to calculate the Bayesian rate. It was observed that leprosy is presented in hyper-endemic levels especially in the metropolitan area. However, there is also a reduction of the detection rate in the most recent study period. In municipalities in the metropolitan region and the north western region detection in children under 15 is high, indicating an active transmission situation. In municipalities in the south-central region and especially in the coastal region, there was a high proportion of cases diagnosed with level II disability, reflecting late diagnosis. There was no linear correlation between socioeconomic indicators and leprosy rate. These results contribute to the analysis of the geographical distribution of leprosy, important for the identification of areas for resource allocation, aiming to control and eliminate the disease.
Assuntos
Pessoas com Deficiência/estatística & dados numéricos , Doenças Endêmicas/estatística & dados numéricos , Hanseníase/epidemiologia , Adolescente , Teorema de Bayes , Brasil/epidemiologia , Criança , Diagnóstico Tardio , Humanos , Hanseníase/diagnóstico , Hanseníase/transmissão , Alocação de Recursos , Fatores de Risco , Fatores SocioeconômicosRESUMO
Resumo Trabalhos demonstraram que a distribuição geográfica da hanseníase está relacionada a diferentes fatores socioeconômicos. O objetivo deste artigo é estudar a distribuição geográfica da hanseníase no estado do Rio de Janeiro. Os casos de hanseníase notificados no período 2001-2012 foram mapeados segundo município. Foram calculados indicadores epidemiológicos e socioeconômicos. Utilizou-se o programa ArcMap para a construção dos mapas e o Terra View para o cálculo de taxa bayesiana. Observou-se que a hanseníase apresenta-se em níveis hiperendêmicos, especialmente na região metropolitana. No entanto, observa-se também uma redução do coeficiente de detecção no período mais recente do estudo. Em municípios da região metropolitana e da região noroeste a detecção em menores de 15 anos é elevada, indicando situação de transmissão ativa. Em municípios da região centro-sul e especialmente na baixada litorânea, observou-se elevada proporção de casos diagnosticados com grau II de incapacidade, refletindo alto índice de diagnóstico tardio. Não foi observada correlação linear entre os indicadores socioeconômicos e a detecção da hanseníase. Esses resultados contribuem para a análise da distribuição geográfica da hanseníase, importante para a identificação de áreas para alocação de recursos, visando controle e eliminação da doença.
Abstract Studies have demonstrated that the geographical distribution of leprosy is related to different socioeconomic factors. This article aims to study the geographical distribution of leprosy in the state of Rio de Janeiro. The cases of leprosy reported in the 2001-2012 period were mapped according to municipality. Epidemiological and socioeconomic indicators were calculated. The ArcMap program was used for the construction of maps and Earth View to calculate the Bayesian rate. It was observed that leprosy is presented in hyper-endemic levels especially in the metropolitan area. However, there is also a reduction of the detection rate in the most recent study period. In municipalities in the metropolitan region and the north western region detection in children under 15 is high, indicating an active transmission situation. In municipalities in the south-central region and especially in the coastal region, there was a high proportion of cases diagnosed with level II disability, reflecting late diagnosis. There was no linear correlation between socioeconomic indicators and leprosy rate. These results contribute to the analysis of the geographical distribution of leprosy, important for the identification of areas for resource allocation, aiming to control and eliminate the disease.
