Spatial clustering of the failure to geocode and its implications for the detection of disease clustering.
Spatial clustering of the failure to geocode and its implications for the detection of disease clustering.
复制标题
地理编码失败的空间聚类及其对疾病聚类检测的影响。
DOI：
10.1002/sim.3288
复制
发表时间：
2008
影响因子：
2
通讯作者：
Mazumdar,Soumya
中科院分区：
文献类型：
--
作者：
Zimmerman,DaleL;Fang,Xiangming;Mazumdar,Soumya
尽可能完整地对研究人群进行地理编码是许多空间流行病学研究的重要数据同化组成部分。不幸的是，完整的地理编码在实践中很少见。很大一部分研究对象的地址未能进行地理编码，这对空间分析产生了影响，其中一些影响尚未完全理解。本文明确证明了地理编码失败可以在空间上聚类，并研究了这对于疾病聚类检测的影响。为此目的，使用了来自爱荷华州卡罗尔县 9000 多个真实地址的数据集，这些地址通过标准地址匹配和街道插值算法进行了地理编码。通过对这些地址的疾病过程进行模拟，作者表明，如果疾病可能性与地理编码失败无关，则地理编码失败的空间聚类对检测空间疾病聚类的边际功效没有影响，但如果疾病可能性和地理编码失败呈正相关，则该功效会大大降低。版权所有 © 2008 约翰·威利父子有限公司
Geocoding a study population as completely as possible is an important data assimilation component of many spatial epidemiologic studies. Unfortunately, complete geocoding is rare in practice. The failure of a substantial proportion of study subjects' addresses to geocode has consequences for spatial analyses, some of which are not yet fully understood. This article explicitly demonstrates that the failure to geocode can be spatially clustered, and it investigates the implications of this for the detection of disease clustering. A data set of more than 9000 ground‐truthed addresses from Carroll County, Iowa, which was geocoded via a standard address matching and street interpolation algorithm, is used for this purpose. Through simulation of disease processes at these addresses, the authors show that spatial clustering of geocoding failure has no effect on the marginal power to detect spatial disease clustering if the likelihood of disease is independent of the failure to geocode, but that power is substantially reduced if disease likelihood and geocoding failure are positively associated. Copyright © 2008 John Wiley & Sons, Ltd.