title: Predicting geographically distributed adult dental decay in the greater Auckland region of New Zealand.
abstract: OBJECTIVE
  To model the geographic distribution of current (and treated) dental decay on a high-resolution geographic basis for the Auckland region of New Zealand.
  
  
  METHODS
  The application of matrix-based mathematics to modelling adult dental disease-based on known population risk profiles to provide a detailed map of the dental caries distribution for the greater Auckland region.
  
  
  RESULTS
  Of the 29 million teeth in adults in the region some 1.2 million (4%) are suffering decay whilst 7.2 million (25%) have previously suffered decay and are now restored.
  
  
  CONCLUSIONS
  The model provides a high-resolution picture of where the disease burden lies geographically and presents to health planners a method for developing future service plans.
authors: C M
authors: CM
authors: Rocha
authors: E
authors: E
authors: Kruger
authors: R
authors: R
authors: Whyman
authors: M
authors: M
authors: Tennant
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D044466:Asian People / Q000706:statistics & numerical data; D017281:Cost of Illness; D004245:DMF Index; D003731:Dental Caries / Q000453:epidemiology* / Q000208:ethnology; D003793:Dental Restoration, Permanent / Q000706:statistics & numerical data; D062305:Geographic Mapping; D006801:Humans; D008875:Middle Aged; D009520:New Zealand / Q000453:epidemiology / Q000208:ethnology; D018570:Risk Assessment; D012923:Social Class; D016388:Tooth Loss / Q000453:epidemiology / Q000208:ethnology; D014504:Urban Health / Q000706:statistics & numerical data*; D035862:Vulnerable Populations / Q000706:statistics & numerical data; D044465:White People / Q000706:statistics & numerical data; D055815:Young Adult