Abstract:

Objective   To explore the ‘hot spot’ regions of disease spatial distribution based on spatial autocorrelation analysis, so as to provide evidence for disease control and prevention. Methods   ArcGIS9-3 was used for data management and analysis, applying global spatial autocorrelation analysis and ‘hot spot’ analysis to reflect characters of the disease spatial distribution based on spatial statistical section. Results   The incidence of hand-foot-mouth disease(HFMD) in 2010 was clustered in Liaocheng City. The global spatial autocorrelation Moran′s I index=069, u=11.46, and P<0-01. Under the generalized G statistics, the G index=0-01, u(G) score=9.51, and P<0-01. Local G statistics revealed high clustering of disease distribution in  the Dongchangfu district and Gaotang county. Conclusion   In spatial statistics, spatial autocorrelation analysis could effectively detect the ‘hot spot’ regions.

Key words: Spatial autocorrelation analysis; Moran′s I; Generalized G statistics; Local G statistics; ‘Hot spots’ region