title: Does core area theory apply to sexually transmitted diseases in rural environments?
abstract: BACKGROUND
  Our objective was to determine the extent to which geographical core areas for gonorrhea and syphilis are located in rural areas as compared with urban areas.
  
  
  METHODS
  Incident gonorrhea (January 1, 2005-December 31, 2010) and syphilis (January 1, 1999-December 31, 2010) rates were estimated and mapped by census tract and quarter. Rurality was measured using percent rural and rural-urban commuting area (rural, small town, micropolitan, or urban). SaTScan was used to identify spatiotemporal clusters of significantly elevated rates of infection. Clusters lasting 5 years or longer were considered core areas; clusters of shorter duration were considered outbreaks. Clusters were overlaid on maps of rurality and qualitatively assessed for correlation.
  
  
  RESULTS
  Twenty gonorrhea core areas were identified: 65% were in urban centers, 25% were in micropolitan areas, and the remaining 10% were geographically large capturing combinations of urban, micropolitan, small town, and rural environments. Ten syphilis core areas were identified with 80% in urban centers and 20% capturing 2 or more rural-urban commuting areas. All 10 (100%) of the syphilis core areas overlapped with gonorrhea core areas.
  
  
  CONCLUSIONS
  Gonorrhea and syphilis rates were high for rural parts of North Carolina; however, no core areas were identified exclusively for small towns or rural areas. The main pathway of rural sexually transmitted disease (STI) transmission may be through the interconnectedness of urban, micropolitan, small town, and rural areas. Directly addressing STIs in urban and micropolitan communities may also indirectly help address STI rates in rural and small town communities.
authors.affiliation: Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. dionne.gesink@utoronto.ca
authors.forename: Dionne C
authors.initials: DC
authors.lastname: Gesink
authors.forename: Ashleigh B
authors.initials: AB
authors.lastname: Sullivan
authors.forename: Todd A
authors.initials: TA
authors.lastname: Norwood
authors.forename: Marc L
authors.initials: ML
authors.lastname: Serre
authors.forename: William C
authors.initials: WC
authors.lastname: Miller
mesh_terms: D016000:Cluster Analysis; D004196:Disease Outbreaks / Q000706:statistics & numerical data; D006069:Gonorrhea / Q000453:epidemiology*; D006801:Humans; D015994:Incidence; D009657:North Carolina / Q000453:epidemiology; D011159:Population Surveillance; D012424:Rural Population / Q000706:statistics & numerical data*; D062211:Spatio-Temporal Analysis; D013587:Syphilis / Q000453:epidemiology*; D013997:Time Factors; D014505:Urban Population / Q000706:statistics & numerical data