[Spatial analysis on the distribution of hemorrhagic fever with renal syndrome by geographic information system in Haidian district, Beijing].
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.
Fang
Li-qun
LQ
Institute of Microbiology and Epidemiology, Academy of Military Medical Science, Beijing 100071, China.
Cao
Wu-chun
WC
Dun
Zhe
Z
Wu
Xiao-ming
XM
Sun
Pei-yuan
PY
Kulldorff
Martin
M
Wang
Bing-cai
BC
Yang
Hong
H
Li
Xiao-wen
XW
D002681:China / Q000453:epidemiology; D006480:Hemorrhagic Fever with Renal Syndrome / Q000453:epidemiology*; D006801:Humans; D014504:Urban Health / Q000706:statistics & numerical data; D014507:Urbanization