The objective of this study was to identify spatial patterns in the occurrence of leprosy in Duque de Caxias, a municipality (county) with high endemicity for the disease in the State of Rio de Janeiro, Brazil. The authors selected all new leprosy cases reported to the Brazilian National Database on Diseases of Notification (SINAN) from 1998 to 2006. The analysis was performed according to three-year periods, followed by spatial analysis according to the local empirical Bayesian method and calculation of global (Moran) and local (LISA) spatial autocorrelation. The analysis showed marked improvement in the epidemiological situation associated with earlier diagnosis. There was a reduction in the proportion of cases with grade II leprosy, from 13.6% to 8.6% (p = 0.04), and increased detection of cases with the indeterminate form, from 10.3% to 18% (p = 0.00). Spatial analysis identified a cluster in the South-Northwest of the municipality, not directly related to the actions or decentralization campaign, proving to be an important tool for identifying critical areas for the endemic and assessing the impact of strategic measures to combat the disease.
BT - Cadernos de saude publica C1 - http://www.ncbi.nlm.nih.gov/pubmed/22666818?dopt=Abstract C2 - Brazil CN - DUARTECUNHA 2012 CY - Rio De Janeiro DA - 2012 Jun DO - 10.1590/s0102-311x2012000600013 IS - 6 J2 - Cad Saude Publica LA - por N2 -The objective of this study was to identify spatial patterns in the occurrence of leprosy in Duque de Caxias, a municipality (county) with high endemicity for the disease in the State of Rio de Janeiro, Brazil. The authors selected all new leprosy cases reported to the Brazilian National Database on Diseases of Notification (SINAN) from 1998 to 2006. The analysis was performed according to three-year periods, followed by spatial analysis according to the local empirical Bayesian method and calculation of global (Moran) and local (LISA) spatial autocorrelation. The analysis showed marked improvement in the epidemiological situation associated with earlier diagnosis. There was a reduction in the proportion of cases with grade II leprosy, from 13.6% to 8.6% (p = 0.04), and increased detection of cases with the indeterminate form, from 10.3% to 18% (p = 0.00). Spatial analysis identified a cluster in the South-Northwest of the municipality, not directly related to the actions or decentralization campaign, proving to be an important tool for identifying critical areas for the endemic and assessing the impact of strategic measures to combat the disease.
PB - Scielo PP - Rio De Janeiro PY - 2012 SP - 1143 EP - 55 T2 - Cadernos de saude publica TI - [Epidemiological aspects of leprosy: a spatial approach]. TT - Aspectos epidemiológicos da hanseníase: uma abordagem espacial UR - http://www.scielosp.org/pdf/csp/v28n6/13.pdf VL - 28 SN - 1678-4464 ER -