[Spatial clustering detecting for schistosomiasis in Nanchang County].
OBJECTIVE
To explore the cluster of schistosomiasis in Nanchang County, Jiangxi Province.


METHODS
Based on the data of schistosome infection cases and population, the spatial analysis technology, global autocorrelation and hotspot detection methods in ArcGIS 9.2 software were used to render the spatial autocorrelation coefficient graph. The autocorrelation index change trend of schistosome infection rates in different spatial scales was described. In addition, the hotspot area of schistosome infection rates in study area was detected by using the representative distance for pace parameters combined with actual situation.


RESULTS
The spatial distribution of schistosome infection in study area was characteristic of clusters in 2009. The spatial autocorrelation coefficient graph indicated that the peak of wave happened in the distances of 1 900 m, 2 600 m, 3 800 m and 5 000 m, respectively. Comparing with the geographical conditions, the hotspots in 5 000 m spatial scale were more realistic than other distances. In this scale, 2 hotspots and 2 second hotspots were explored.


CONCLUSIONS
The spatial clustering analysis combined with the spatial autocorrelation analysis can explore the schistosomiasis gathering area more precisely.
Second Middle School of Yongxiu, Yongxiu 330304, China.
Qi-Qiang
QQ
Tang
Zhi
Z
Zhang
Chao-Qing
CQ
Huang
An
A
Zhao
Bi-Song
BS
Hu
D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D005260:Female; D040362:Geographic Information Systems; D006801:Humans; D012552:Schistosomiasis / Q000453:epidemiology*; D018571:Sentinel Surveillance; D012984:Software