摘要
目的探讨重庆市8～10岁儿童尿碘的空间分布特征。方法建立2009年重庆市各区县尿碘数据库,利用地理信息系统技术,通过ArcGIS 9.3软件分析重庆市尿碘、<100μg/L、(100～200)μg/L、(200～300)μg/L、>300μg/L比例的空间分布和空间自相关性。结果全局空间自相关性分析表明,重庆市儿童尿碘(Moran's I=0.0405,P=0.2890)、频数>300μg/L比例(Moran's I=0.0795,P=0.0952)分布在整体上不存在空间相关性,<100μg/L(Moran's I=0.2014,P=0.0003)、(100～200)μg/L(Moran's I=0.1166,P=0.0257)、(200～300)μg/L(Moran's I=0.1458,P=0.0066)比例分布在整体上存在着空间正相关性。局部空间自相关分析表明,重庆市各区县尿碘中位数存在着低-低关联(江北)、高-低关联(巴南);>300μg/L比例存在低-低关联(渝中、江北)、低-高关联(奉节);<100μg/L比例存在着高-高关联(渝中、江北、大渡口、北碚)、高-低关联(巫山);(100～200)μg/L比例存在着高-高关联(渝中、沙坪坝、九龙坡、江津、江北、璧山)、高-低关联(奉节)、低-高关联(铜梁);(200～300)μg/L比例存在着高-高关联(巫山)、低-低关联(江津、江北、大渡口、璧山)、高-低关联(黔江、大足)。结论重庆市整个区域尿碘总量和>300μg/L比例不存在空间聚集性,<100μg/L、(100～200)μg/L、(200～300)μg/L比例存在着空间聚集性;不同区县尿碘及不同状态比例存在聚集区域。
Objective To study the spatial distribution characteristics of urine iodine in Chongqing.Methods The information of urine iodine investigated in 2009 was collected to establish the database for the geographic information system.The spatial statistics module of ArcGIS 9.3 was used to conduct spatial auto-correlation analysis.Results The Global Moran＇s I identified： There was no spatial auto-correlation for the median（Moran＇s I=0.0405,P=0.2890） and proportion over 300μg/L（Moran＇s I=0.0795,P= 0.0952） of urine iodine.There was positive spatial autocorrelation for the proportion of below 100μg/L（Moran＇s I=0.2014,P=0.0003）,（100~200）μg/L（Moran＇s I=0.1166,P=0.0257） and（200~300） μg/L（Moran＇s I=0.1458,P=0.0066） of urine iodine.The local Moran＇s I identified： Jiangbei was in low-low region and Banan was in high-low region for the median of urine iodine.Yuzhong and Jiangbei were in low-low region and Fengjie was in low-high region for the proportion over 300 μg/L.The high-high regions of the proportion below 100μg/L include Yuzhong,Jiangbei,Dadukou,Beibei,but Wushan was in high-low region.for the proportion between 100 and 200 μg/L,Yuzhong,Shapingba,Jiulongpo,Jiangjin,Jiangbei,Bishan were in high-high region,Fengjie in high-low region,Tongliang in low-high region.for the proportion between 200 and 300 μg/L,Jiangjin,Jiangbei,Dadukou,Bishan were in low-low region,Wushan in high-high region,Qianjiang and Dazu in low-high region.Conclusions The spatial distribution of the median and the proportion over 300μg/L of urine iodine was not clustered.The spatial distribution of the proportion below 100 μg/L,（100~200）μg/L,（200~300）μg/L of urine iodine was clustered.At different-county levels,there were clustered regions for the median and different proportion of urine iodine.
出处
《公共卫生与预防医学》
2012年第4期17-22,共6页
Journal of Public Health and Preventive Medicine
基金
重庆市地方病预防与控制重大科技专项(CSTC
2008AB5054)
关键词
尿碘
地理信息系统
空间自相关
Urine iodine
Geographic information system
Spatial autocorrelation
