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在受全氟辛烷磺酸(PFOA)污染的社区中对农村地址进行地理编码:方法比较。

Geocoding rural addresses in a community contaminated by PFOA: a comparison of methods.

机构信息

Department of Environmental Health, Boston University School of Public Health, MA 02116, USA.

出版信息

Environ Health. 2010 Apr 21;9:18. doi: 10.1186/1476-069X-9-18.

Abstract

BACKGROUND

Location is often an important component of exposure assessment, and positional errors in geocoding may result in exposure misclassification. In rural areas, successful geocoding to a street address is limited by rural route boxes. Communities have assigned physical street addresses to rural route boxes as part of E911 readdressing projects for improved emergency response. Our study compared automated and E911 methods for recovering and geocoding valid street addresses and assessed the impact of positional errors on exposure classification.

METHODS

The current study is a secondary analysis of existing data that included 135 addresses self-reported by participants of a rural community study who were exposed via public drinking water to perfluorooctanoate (PFOA) released from a DuPont facility in Parkersburg, West Virginia. We converted pre-E911 to post-E911 addresses using two methods: automated ZP4 address-correction software with the U.S. Postal Service LACS database and E911 data provided by Wood County, West Virginia. Addresses were geocoded using TeleAtlas, an online commercial service, and ArcView with StreetMap Premium North America NAVTEQ 2008 enhanced street dataset. We calculated positional errors using GPS measurements collected at each address and assessed exposure based on geocoded location in relation to public water pipes.

RESULTS

The county E911 data converted 89% of the eligible addresses compared to 35% by ZP4 LACS. ArcView/NAVTEQ geocoded more addresses (n = 130) and with smaller median distance between geocodes and GPS coordinates (39 meters) than TeleAtlas (n = 85, 188 meters). Without E911 address conversion, 25% of the geocodes would have been more than 1000 meters from the true location. Positional errors in TeleAtlas geocoding resulted in exposure misclassification of seven addresses whereas ArcView/NAVTEQ methods did not misclassify any addresses.

CONCLUSIONS

Although the study was limited by small numbers, our results suggest that the use of county E911 data in rural areas increases the rate of successful geocoding. Furthermore, positional accuracy of rural addresses in the study area appears to vary by geocoding method. In a large epidemiological study investigating the health effects of PFOA-contaminated public drinking water, this could potentially result in exposure misclassification if addresses are incorrectly geocoded to a street segment not serviced by public water.

摘要

背景

地点通常是暴露评估的一个重要组成部分,地理编码中的位置误差可能导致暴露分类错误。在农村地区,成功地将地址编码到街道地址受到农村路由框的限制。为了改善应急响应,社区已经将物理街道地址分配给农村路由框,作为 E911 重新寻址项目的一部分。我们的研究比较了自动和 E911 方法来恢复和地理编码有效的街道地址,并评估了位置误差对暴露分类的影响。

方法

本研究是对现有数据的二次分析,包括 135 个地址,这些地址是西弗吉尼亚州帕克尔斯堡杜邦工厂释放的全氟辛烷酸 (PFOA) 通过公共饮用水暴露的农村社区研究参与者自我报告的。我们使用两种方法将预 E911 转换为后 E911 地址:使用美国邮政服务 LACS 数据库的 ZP4 地址修正软件自动转换和西弗吉尼亚州伍德县提供的 E911 数据。我们使用 TeleAtlas(在线商业服务)和 ArcView 与 StreetMap Premium North America NAVTEQ 2008 增强街道数据集进行地理编码。我们使用在每个地址收集的 GPS 测量值计算位置误差,并根据与公共水管的地理编码位置评估暴露情况。

结果

与 ZP4 LACS 相比,县 E911 数据转换了 89%的合格地址,而 ZP4 LACS 仅转换了 35%。ArcView/NAVTEQ 地理编码了更多的地址(n=130),地理编码和 GPS 坐标之间的中位数距离(39 米)小于 TeleAtlas(n=85,188 米)。如果没有 E911 地址转换,25%的地理编码将距离真实位置超过 1000 米。TeleAtlas 地理编码中的位置误差导致 7 个地址的暴露分类错误,而 ArcView/NAVTEQ 方法没有错误分类任何地址。

结论

尽管研究受到样本量小的限制,但我们的结果表明,在农村地区使用县 E911 数据可以提高地理编码的成功率。此外,研究区域农村地址的位置精度似乎因地理编码方法而异。在一项调查全氟辛烷酸污染公共饮用水对健康影响的大型流行病学研究中,如果地址被错误地地理编码到公共供水未服务的街道段,这可能会导致暴露分类错误。

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