Spatial analysis of leprosy incidence and associated socioeconomic factors / Análise espacial da incidência de hanseníase e fatores socioeconômicos associados / Análisis espacial de la incidencia de lepra y factores socioeconómicos asoci

OBJECTIVE: To identify clusters of the major occurrences of leprosy and their associated socioeconomic and demographic factors. METHODS: Cases of leprosy that occurred between 1998 and 2007 in São José do Rio Preto (southeastern Brazil) were geocodified and the incidence rates were calculated by census tract. A socioeconomic classification score was obtained using principal component analysis of socioeconomic variables. Thematic maps to visualize the spatial distribution of the incidence of leprosy with respect to socioeconomic levels and demographic density were constructed using geostatistics. RESULTS: While the incidence rate for the entire city was 10.4 cases per 100,000 inhabitants annually between 1998 and 2007, the incidence rates of individual census tracts were heterogeneous, with values that ranged from 0 to 26.9 cases per 100,000 inhabitants per year. Areas with a high leprosy incidence were associated with lower socioeconomic levels. There were identified clusters of leprosy cases, however there was no association between disease incidence and demographic density. There was a disparity between the places where the majority of ill people lived and the location of healthcare services. CONCLUSIONS: The spatial analysis techniques utilized identified the poorer neighborhoods of the city as the areas with the highest risk for the disease. These data show that health departments must prioritize politico-administrative policies to minimize the effects of social inequality and improve the standards of living, hygiene, and education of the population in order to reduce the incidence of leprosy.

OBJETIVO: Identificar áreas com maior ocorrência de casos de hanseníase e fatores socioeconômicos e demográficos associados. MÉTODOS: Casos de hanseníase ocorridos entre 1998 e 2007 em São José do Rio Preto, SP, foram geocodificados e coeficientes de incidência foram calculados por setores censitários. Por meio da técnica de análise de componentes principais, obteve-se um escore para classificação socioeconômica. O uso do método de krigagem ordinária resultou em mapas temáticos para visualização da distribuição espacial da incidência de hanseníase, do nível socioeconômico e da densidade demográfica. RESULTADOS: Enquanto a incidência para toda a cidade foi de 10,4 casos por 100.000 habitantes por ano, entre 1998 e 2007, as incidências por setores censitários foram heterogêneas, variando de zero a 26,9 casos por 100.000 habitantes por ano. Houve concordância entre áreas com valores mais altos de incidência e menores níveis socioeconômicos. Foram identificados aglomerados de casos de hanseníase. Não foi observada associação da doença com densidade demográfica. Detectou-se falta de relação entre os locais de moradia da maioria dos doentes e a localização dos serviços de saúde. CONCLUSÕES: As técnicas de análise espacial utilizadas permitiram caracterizar as áreas mais deficitárias do município como as de maior risco para hanseníase.

OBJETIVO: Identificar áreas con mayor ocurrencia de casos de lepra y factores socioeconómicos y demográficos asociados. MÉTODOS: Casos de lepra ocurridos entre 1998 y 2007 en Sao José do Rio Preto, Sureste de Brasil, fueron geocodificados y se calcularon los coeficientes de incidencia por sectores censados. Por medio de la técnica de análisis de componentes principales, se obtuvo un escore para clasificación socioeconómica. El uso del método de krigage ordinaria resultó en mapas temáticos para visualización de la distribución espacial de la incidencia de lepra, del nivel socioeconómico y de la densidad demográfica. RESULTADOS: Mientras la incidencia para toda la ciudad fue de 10,4 casos por 100.000 habitantes por año, entre 1998 y 2007, las incidencias por sectores censados fueron heterogéneas, variando de cero a 26,9 casos por 100.000 habitantes por año. Hubo concordancia entre áreas con valores más altos de incidencia y menores niveles socioeconómicos. Se identificaron aglomerados de casos de lepra. No fue observada asociación de la enfermedad con densidad demográfica. Se detectó falta de relación entre los lugares de vivienda de la mayoría de los enfermos y la localización de los servicios de salud. CONCLUSIONES: Las técnicas de análisis espacial utilizadas permitieron caracterizar las áreas más deficitarias del municipio como las de mayor riesgo para lepra.

Spatial analysis of leprosy incidence and associated socioeconomic factors.

OBJECTIVE: To identify clusters of the major occurrences of leprosy and their associated socioeconomic and demographic factors. METHODS: Cases of leprosy that occurred between 1998 and 2007 in São José do Rio Preto (southeastern Brazil) were geocodified and the incidence rates were calculated by census tract. A socioeconomic classification score was obtained using principal component analysis of socioeconomic variables. Thematic maps to visualize the spatial distribution of the incidence of leprosy with respect to socioeconomic levels and demographic density were constructed using geostatistics. RESULTS: While the incidence rate for the entire city was 10.4 cases per 100,000 inhabitants annually between 1998 and 2007, the incidence rates of individual census tracts were heterogeneous, with values that ranged from 0 to 26.9 cases per 100,000 inhabitants per year. Areas with a high leprosy incidence were associated with lower socioeconomic levels. There were identified clusters of leprosy cases, however there was no association between disease incidence and demographic density. There was a disparity between the places where the majority of ill people lived and the location of healthcare services. CONCLUSIONS: The spatial analysis techniques utilized identified the poorer neighborhoods of the city as the areas with the highest risk for the disease. These data show that health departments must prioritize politico-administrative policies to minimize the effects of social inequality and improve the standards of living, hygiene, and education of the population in order to reduce the incidence of leprosy.

[Creation of a data bank for sustainability of leprosy post elimination]. / Criação de banco de dados para sustentação da pós-eliminação em hanseníase.

São José do Rio Preto reached the World Health Organization goal eliminating leprosy as a Public Health problem in the year 2006, with a prevalence of 0.79/10,000 inhabitants. In order to warrant reliable information to promote management measures that keep this status, the aim of this study was to create a leprosy data bank in the city with information from 1998 to 2006. A data collection protocol was used and it contained 74 clinical-epidemiological variables that were gathered from primary and secondary sources. This work was initiated with 442 cases registered in the municipal control program database, from those 168 were excluded and 85 were inserted. There were 24 cases not notified in the National Information System (SINAN). The 74 variables collected will allow further studies about themes: epidemiological profiles, household contacts control, reactions and deficiencies, and others. The difficulties faced during the elaboration of the database were related to decoding medical files data and inconsistency in the SINAN. The frequent mistakes while entering the data weaken the information system and difficult the plan of precise actions regarding health. These facts are relevant to the quality of attention and the maintenance of the leprosy elimination status.

Criação de banco de dados para sustentação da pós-eliminação em hanseníase / Creation of a data bank for sustainability of leprosy post elimination

São José do Rio Preto atingiu o parâmetro da Organização Mundial de Saúde de eliminação da hanseníase como problema de saúde pública em 2006, com prevalência de 0,79/10.000 habitantes. Para garantir informações fidedignas que permitam medidas gerenciais e manutenção deste quadro, o objetivo do estudo foi criar um banco de dados da hanseníase do município, no período de 1998 a 2006. Utilizou-se protocolo para coleta de dados de 74 variáveis clínico-epidemiológicas encontradas em fontes primárias e secundárias. Iniciou-se o trabalho com 442 casos existentes nas informações de dados do programa de controle do município; destes, 168 foram excluídos e 85 inseridos; 24 não haviam sido notificados no Sistema de Informação de Agravos de Notificação (SINAN). As 74 variáveis coletadas possibilitarão estudo posterior de temas, como o perfil epidemiológico, controle de comunicantes, reações, deficiências, entre outros. As dificuldades encontradas na elaboração do banco foram em relação à decodificação de dados dos prontuários e inconsistências nas anotações do SINAN. Os erros no registro dos dados ocorrem com frequência, debilitando informações e dificultando o planejamento das ações na área, fatores importantes para qualidade do atendimento e sustentação da eliminação da hanseníase.

São José do Rio Preto reached the World Health Organization goal eliminating leprosy as a Public Health problem in the year 2006, with a prevalence of 0.79/10,000 inhabitants. In order to warrant reliable information to promote management measures that keep this status, the aim of this study was to create a leprosy data bank in the city with information from 1998 to 2006. A data collection protocol was used and it contained 74 clinical-epidemiological variables that were gathered from primary and secondary sources. This work was initiated with 442 cases registered in the municipal control program database, from those 168 were excluded and 85 were inserted. There were 24 cases not notified in the National Information System (SINAN). The 74 variables collected will allow further studies about themes: epidemiological profiles, household contacts control, reactions and deficiencies, and others. The difficulties faced during the elaboration of the database were related to decoding medical files data and inconsistency in the SINAN. The frequent mistakes while entering the data weaken the information system and difficult the plan of precise actions regarding health. These facts are relevant to the quality of attention and the maintenance of the leprosy elimination status.