Gao Jie, Zhang Zhi-jie, Wang Zeng-liang, Bian Jian-chao, Wang Jin-biao, Jiang Wen, Wang Xiao-ming, Jiang Qing-wu
Shandong Institute of Prevention and Control for Endemic Disease, Jinan 250014, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2013 Jan;47(1):18-22.
To detect the spatial distribution characteristics of iodine in drinking water of residents in Shandong province with spatial autocorrelation analysis.
The county-based study set Shandong province as a research site. A total of 108 164 water samples from 140 counties were collected. The drinking water iodine data in county-level city between 2008 to 2010 were obtained from Shandong Institute of Prevention and Control for Endemic Disease and was merged with an electronic map to build a spatial database. Global and local Moran's I index were calculated, respectively, and spatial autocorrelation and cluster range of iodine distribution in drinking water in Shandong province were studied by SaTScan software.
All counties were further grouped according to the "criteria of delimitation for IDD endemic areas" and "determination and classification of the areas of high water iodine and the endemic areas of iodine excess goiter", and 90 counties were iodine deficiency (< 10 µg/L), 31 were iodine suitable (10 - 150 µg/L), and 19 (> 150 µg/L) were high iodine. For the overall study area, the iodine distribution in drinking water in Shandong province existed spatial autocorrelation (Moran's I = 0.52, Z = 7.4, P < 0.01). For the local scale, the drinking water iodine in 18 counties of Dezhou, Liaocheng and Heze city in western Shandong province was clustered, the local Moran's I were between 0.22 - 1.00 (P < 0.01), which were all high-high clusters, indicating the positive spatial correlation. Spatial analysis using SaTScan software detected two cluster areas including 20 counties, which the centers located in Xiajin and Dingtao county, the cluster radiuses were 57.47 km and 65.58 km respectively. The analysis results were consistent with the results of local spatial autocorrelation.
There are apparent spatial autocorrelation and strong spatial heterogeneity existed in the iodine distribution in drink water in Shandong province.
采用空间自相关分析方法探讨山东省居民饮用水中碘的空间分布特征。
以山东省为研究区域,开展基于县的研究。共采集了来自140个县的108164份水样。2008 - 2010年县级市饮用水碘数据来源于山东省地方病防治研究所,并与电子地图合并构建空间数据库。分别计算全局和局部莫兰指数,利用SaTScan软件研究山东省饮用水碘分布的空间自相关和聚集范围。
所有县按照“碘缺乏病病区划分标准”及“高水碘地区和碘过量致甲状腺肿病区的判定与划分”进一步分组,碘缺乏县(<10μg/L)90个,碘适宜县(10 - 150μg/L)31个,高碘县(>150μg/L)19个。对于整个研究区域,山东省饮用水碘分布存在空间自相关(莫兰指数I = 0.52,Z = 7.4,P < 0.01)。在局部尺度上,鲁西地区德州市、聊城市和菏泽市的18个县饮用水碘呈聚集分布,局部莫兰指数I在0.22 - 1.00之间(P < 0.01),均为高高聚集,表明存在正向空间相关性。利用SaTScan软件进行空间分析,检测到两个聚集区,包含20个县,聚集中心分别位于夏津县和定陶县,聚集半径分别为57.47 km和65.58 km。分析结果与局部空间自相关结果一致。
山东省饮用水碘分布存在明显的空间自相关和较强的空间异质性。