Email updates

Keep up to date with the latest news and content from Environmental Health and BioMed Central.

Open Access Research

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

Verónica M Vieira1*, Gregory J Howard12, Lisa G Gallagher1 and Tony Fletcher3

  • * Corresponding author: Verónica M Vieira vmv@bu.edu

Author Affiliations

1 Department of Environmental Health, Boston University School of Public Health, 715 Albany Street Talbot 4W, Boston, MA 02116, USA

2 Department of Environmental Studies, Dickinson College, Kaufman Building Room 131, Carlisle, PA 17013, USA

3 London School of Hygiene and Tropical Medicine Public Health and Environmental Research Unit, Keppel Street, London WC1E 7HT, UK

For all author emails, please log on.

Environmental Health 2010, 9:18  doi:10.1186/1476-069X-9-18

Published: 21 April 2010

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.