02290nas a2200181 4500000000100000008004100001653002100042100001600063700002000079700001300099700001400112700001700126245008700143856010700230490000700337520175000344022001402094 2015 d10aSpatial analysis1 aMonteiro LD1 aMartins-Melo FR1 aBrito AL1 aAlencar C1 aHeukelbach J00aSpatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012. uhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100265&lng=en&nrm=iso&tlng=en 0 v493 a
Editor's Abstract:
OBJECTIVE; To describe the spatial patterns of leprosy in the Brazilian state of Tocantins. METHODS; This study was based on morbidity data obtained from the Sistema de Informações de Agravos de Notificação (SINAN - Brazilian Notifiable Diseases Information System), of the Ministry of Health. All new leprosy cases in individuals residing in the state of Tocantins, between 2001 and 2012, were included. In addition to the description of general disease indicators, a descriptive spatial analysis, empirical Bayesian analysis and spatial dependence analysis were performed by means of global and local Moran's indexes. RESULTS: A total of 14,542 new cases were recorded during the period under study. Based on the annual case detection rate, 77.0% of the municipalities were classified as hyperendemic (> 40 cases/100,000 inhabitants). Regarding the annual case detection rate in < 15 years-olds, 65.4% of the municipalities were hyperendemic (10.0 to 19.9 cases/100,000 inhabitants); 26.6% had a detection rate of grade 2 disability cases between 5.0 and 9.9 cases/100,000 inhabitants. There was a geographical overlap of clusters of municipalities with high detection rates in hyperendemic areas. Clusters with high disease risk (global Moran's index: 0.51; p < 0.001), ongoing transmission (0.47; p < 0.001) and late diagnosis (0.44; p < 0.001) were identified mainly in the central-north and southwestern regions of Tocantins. CONCLUSIONS: We identified high-risk clusters for transmission and late diagnosis of leprosy in the Brazilian state of Tocantins. Surveillance and control measures should be prioritized in these high-risk municipalities.
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