title: [Spatial analysis on the distribution of hemorrhagic fever with renal syndrome by geographic information system in Haidian district, Beijing].
abstract: OBJECTIVE
  To analyze the spatial distribution of hemorrhagic fever with renal syndrome (HFRS) in Haidian district, Beijing and to explore the geographical characteristics of HFRS in highly endemic areas.
  
  
  METHODS
  Administration boundary layer was established under the background of 1:100,000 map in the ArcInfo 8.1 software. The HFRS cases from 1997 to 2002 were positioned on the map. Highly endemic areas were identified by spatial cluster analysis using SaTScan 3.0 software. Distribution of HFRS cases was shown in different colors and contours by spatial analysis of geographic information system (GIS).
  
  
  RESULTS
  Spatial Cluster Analysis of confirmed cases of HFRS identified in 1997 - 2002 in Haidian district showed that HFRS patients were not randomly distributed. The highly endemic areas were founded in Sujiatuo township, Yongfeng township, Shangzhuang township, Wenquan town and Bei'anhe township (relative risk = 4.43, P = 0.001). A thematic map of HFRS in haidian district was set up.
  
  
  CONCLUSIONS
  HFRS infections were not randomly distributed, since the distribution was related to geographic-environmental factors.
authors.affiliation: Institute of Microbiology and Epidemiology, Academy of Military Medical Science, Beijing 100071, China.
authors.forename: Li-qun
authors.initials: LQ
authors.lastname: Fang
authors.forename: Wu-chun
authors.initials: WC
authors.lastname: Cao
authors.forename: Zhe
authors.initials: Z
authors.lastname: Dun
authors.forename: Xiao-ming
authors.initials: XM
authors.lastname: Wu
authors.forename: Pei-yuan
authors.initials: PY
authors.lastname: Sun
authors.forename: Martin
authors.initials: M
authors.lastname: Kulldorff
authors.forename: Bing-cai
authors.initials: BC
authors.lastname: Wang
authors.forename: Hong
authors.initials: H
authors.lastname: Yang
authors.forename: Xiao-wen
authors.initials: XW
authors.lastname: Li
mesh_terms: D002681:China / Q000453:epidemiology; D006480:Hemorrhagic Fever with Renal Syndrome / Q000453:epidemiology*; D006801:Humans; D014504:Urban Health / Q000706:statistics & numerical data; D014507:Urbanization