01856nas a2200193   4500000000100000008004100001260001200042100001500054700001500069700001500084700001700099700001200116245011200128856006900240300001400309490000700323520131800330022001401648       2020                            d  c08/20201 aSouza CDFD1 aMedronho R1 aSantos FGB1 aMagalhães M1 aLuna CF00a[Spatial modeling of leprosy in the state of Bahia, Brazil, (2001-2015) and social determinants of health].  uhttps://www.scielo.br/pdf/csc/v25n8/1413-8123-csc-25-08-2915.pdf  a2915-29260 v253 a<p>This work analyzes the spatial distribution of leprosy in Bahia and associated social determinants. It is an ecological study, with leprosy data from 2001-2015. Three epidemiological indicators were selected: coefficient of detection in the general population and in children under 15 and the rate of new cases with grade II physical disability. These indicators were flattened by the Local Empirical Bayesian Model and Global and Local Moran statistics were applied. The independent variables were selected from the IBGE-2010 Census. Multivariate regressions were employed, followed by spatial regression. Leprosy exhibited a heterogeneous distribution in the state, with concentration in the north-west axis and the south region. For the general detection coefficient, five variables composed the final model: demographic density, urban population proportion, per capita income, proportion of extremely poor and households with over three people per dormitory. The illiteracy proportion made up the final model for the grade II rate of physical disability. No determinants of the occurrence of the disease were identified in children under 15. The modeling used contributed to demonstrate the spatial heterogeneity and social determinants of the disease in Bahia, revealing the complexity of the problem.</p>  a1678-4561