title: Multiple sclerosis distribution in northern Sardinia: spatial cluster analysis of prevalence.
abstract: BACKGROUND
  A heterogeneous geographic distribution of MS has been reported among different ethnic groups, and also within small communities. Epidemiologic studies conducted over the past two decades using repeated assessments clearly show that Sardinia is at high risk for MS, with a prevalence of 150 per 100,000 in 1997.
  
  
  OBJECTIVE
  To present spatial analysis of the disease prevalence to disclose possible "hot" or "cold" spots of disease, further allowing correlations with risk factors.
  
  
  METHODS
  A spatial analysis of the whole province of Sassari, in northern Sardinia, at a microgeographic level (i.e., in the 89 administrative communes and 6 linguistic areas) was conducted. Because of the small number of cases per commune and to overcome random variability, a hierarchical Bayesian approach was adopted. The distribution of prevalent cases by commune of residence on December 31, 1997 and from age 5 to 15 years was analyzed.
  
  
  RESULTS
  A clustering pattern was found in the southwestern communes of the province based on geographic distribution by both prevalence and residence at age 5 to 15 years. A west-to-east gradient also was observed.
  
  
  CONCLUSIONS
  This study highlights a hot spot of MS in the southwestern part of Sassari province, bordering with the commune of Macomer, where MS was once hypothesized as having occurred as an epidemic. Interestingly, these areas of MS clustering comprise the Common Logudorese linguistic domain. The Catalan area, linguistically and genetically distant from the remaining Sardinian domains, does not show such high estimates. Because MS is not a single-source infectious disease, this study may help test the hypothesis that a widely and evenly spread environmental (infectious?) agent may produce disease in subgroups of genetically more susceptible individuals in areas at higher inbreeding rates, wherein a disease mode of inheritance could be better investigated.
authors.affiliation: Istituto di Clinica Neurologica, University of Sassari, Italy. maurap@uniss.it
authors.forename: M
authors.initials: M
authors.lastname: Pugliatti
authors.forename: G
authors.initials: G
authors.lastname: Solinas
authors.forename: S
authors.initials: S
authors.lastname: Sotgiu
authors.forename: P
authors.initials: P
authors.lastname: Castiglia
authors.forename: G
authors.initials: G
authors.lastname: Rosati
mesh_terms: D000293:Adolescent; D001499:Bayes Theorem; D002648:Child; D002675:Child, Preschool; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D007558:Italy / Q000453:epidemiology; D008297:Male; D009103:Multiple Sclerosis / Q000453:epidemiology* / Q000208:ethnology; D015995:Prevalence; D012307:Risk Factors; D017678:Sex Distribution