02610nas a2200373 4500000000100000008004100001260001300042653001500055653001000070653000900080653001100089653001000100653002100110653002500131653002100156653001100177653001100188653001200199653000900211653001600220653002400236653001500260653002600275653001600301100002500317700000900342700001300351245010300364856005400467300001200521490000700533520168200540022001402222 2008 d c2008 Dec10aAdolescent10aAdult10aAged10aBrazil10aChild10aChild, Preschool10aDisease Notification10aEndemic Diseases10aFemale10aHumans10aleprosy10aMale10aMiddle Aged10aModels, Statistical10aPrevalence10aSpace-Time Clustering10aYoung Adult1 aRodrigues-Júnior AL1 aO VT1 aMotti VG00aSpatial and temporal study of leprosy in the state of São Paulo (Southeastern Brazil), 2004-2006. uhttp://www.scielosp.org/pdf/rsp/v42n6/en_6768.pdf a1012-200 v423 a

OBJECTIVE: To assess the temporal and spatial evolution of the leprosy endemy in the state of São Paulo, Southeastern Brazil.

METHODS: This is an ecological-social study that used the number of leprosy cases reported to the Brazilian Ministry of Health from January 2004 to December 2006. Monthly series were generated in each regional health department, and their sequences were adjusted by a Markovian model for the leprosy detection coefficients. The detection coefficient with the number of cases accumulated in the period in each municipality was used to produce the spatial distribution of the endemy; a correlation analysis was carried out with the leprosy detection coefficients and the components of the Social Responsibility Index of the state of São Paulo.

RESULTS: Of the 645 municipalities of the state of São Paulo, 22 did not detect leprosy cases in the period. In the majority of regions, the endemy showed a decreasing trend; the time series presented random fluctuation around expected values. The decline was influenced by a generalized decrease in the detection coefficients at the end of 2005. There was a positive correlation between the detection coefficients and the components "schooling" and "longevity", of the Social Responsibility Index of the state of São Paulo, and a negative correlation with "wealth", another component of the same Index.

CONCLUSIONS: The result of the time series analysis suggests that the endemy is on the decline in the majority of regions of the state of São Paulo, while the spatial analysis shows that the coefficients are high in the northern part of the state.

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