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

Environmental Health

Research

Lisa G Gallagher¹  Verónica M Vieira¹  Gregory J Howard²  Tony Fletcher³ 

[1] Department of Environmental Health, Boston University School of Public Health, 715 Albany Street Talbot 4W, 02116, Boston, MA, USA;Department of Environmental Health, Boston University School of Public Health, 715 Albany Street Talbot 4W, 02116, Boston, MA, USA;Department of Environmental Studies, Dickinson College, Kaufman Building Room 131, 17013, Carlisle, PA, USA;London School of Hygiene and Tropical Medicine Public Health and Environmental Research Unit, Keppel Street, WC1E 7HT, London, UK;

关键词: Global Position System;    Street Segment;    Positional Error;    Global Position System Measurement;    Exposure Misclassification;   

DOI  :  10.1186/1476-069X-9-18

 received in 2010-03-02, accepted in 2010-04-21,  发布年份 2010

来源: Springer

【 摘 要 】

BackgroundLocation 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.MethodsThe 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.ResultsThe 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.ConclusionsAlthough 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.

【 授权许可】

CC BY   
© Vieira et al; licensee BioMed Central Ltd. 2010