Objective: To analyze the spatial and temporal distribution of leprosy in a scenario of low endemicity in the state of São Paulo, Brazil.
Methods: Ecological study with leprosy cases in Ribeirão Preto, between 2006 to 2016. The temporal trend of leprosy detection was verified through the decomposition of time series and identified areas of high and low occurrence of the disease using the Getis-Ord Gi* technique.
Results: There were 890 cases, and the detection rate showed an increasing trend in the period from 2011 to 2015, with an average growth of 1% per month. Areas of high occurrence of the disease were identified in the northern region of the city (99% and 95% confidence).
Conclusion: The temporal analysis showed that the rate of detection of leprosy presented an increasing trend, and the spatial analysis showed that the region of the municipality with the highest occurrence of the disease is characterized by presenting the greatest social inequalities.
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