title: [Geostatistical analysis of leprosy cases in the State of São Paulo, 1991-2002].
abstract: OBJECTIVE
  To analyze the spatial pattern of leprosy case occurrences in order to identify areas with a probability of disease transmission risks.
  
  
  METHODS
  This was an ecological study in which the analysis units were municipalities in the State of São Paulo that were georeferenced at their centroids. The data source was the electronic database of notified leprosy cases at the Epidemiological Surveillance Center of the State of São Paulo, from 1991 to 2001. Geostatistical techniques were used for detecting areas with a probability of leprosy risk, and for quantifying the spatial dependency of cases.
  
  
  RESULTS
  The spatial dependence detected extended outwards to 0.55 degrees from the georeferenced coordinates, which corresponded to approximately 60 km. The main areas identified as presenting a probability of risk were the northeastern, northern and northwestern regions of the State.
  
  
  CONCLUSIONS
  Verification of areas with the probability of leprosy risk using spatial dependence analysis may be a useful tool for assessing health conditions and planning budget allocations.
authors.affiliation: Coordenadoria de Controle de Doenças, Secretaria de Estado da Saúde de São Paulo, Avenida Dr. Arnaldo, São Paulo, SP, Brazil. opromolla@saude.sp.gov.br
authors.forename: Paula A
authors.initials: PA
authors.lastname: Opromolla
authors.forename: Ivete
authors.initials: I
authors.lastname: Dalben
authors.forename: Márcio
authors.initials: M
authors.lastname: Cardim
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D001938:Brazil / Q000453:epidemiology; D018563:Disease Notification; D005260:Female; D040362:Geographic Information Systems; D006801:Humans; D007918:Leprosy / Q000453:epidemiology*; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015995:Prevalence; D012111:Residence Characteristics; D019371:Topography, Medical / Q000706:statistics & numerical data*