应用区域型空间自相关系数分析疾病的聚集性

Application of local indicators of spatial autocorrelation to analysis of disease cluster

目的探讨空间自相关系数及区域型空间自相关系数对疾病的空间数据聚集性的应用。方法以2000年四川省消除碘缺乏病阶段目标评估资料为例,计算Moran’s I及区域型Moran’s I系数,并作出区域型Moran’s I系数的属性地图。结果盐碘水平中位数的Moran’s I系数=0.2560,P<0.05,从区域型Moran’s I系数的属性地图可知,大部分区域的系数>0。结论整体上四川省的盐碘水平存在着一定的空间聚集性,从局部上看仍有少数区域与其周边呈现相反情况。

Objective To explore application of spatial autocorrelation and local indicators of spatial autocorrelation in disease. Methods Taking the evaluating data of iodine deficiency disorders（IDD） of Sichuan province in 2000, Moran＇s I statistic and local Moran＇ s I coefficient of level of median of salt iodine were calculated, and the map of local Moran＇ s I was made. Results The Moran＇ s I statistic of salt iodine was 0. 2560 （P〈 0.05）, local Moran＇ s I were bigger than 0 in most region. Conclusions On the whole, there was spatial cluster about salt iodine in Sichuan province and from local, and there still were some region whose salt iodine were different from neighboring region.