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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. 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. 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. Although the study was limited by small numbers, our results suggest that the use of county E911 data in rural
Nogueira, Mara (2021)The ambiguous labour of hope: affective governance and the struggles of displaced street-vendors in Belo Horizonte, Brazil. Environment and Planning D: Society and Space 39 (5), pp. 863-879. ISSN 1472-3433.
Nogueira, Mara (2021)'I voted Bolsonaro for president': street vending and the crisis of labour representation in Belo Horizonte, Brazil. In: Monteith, W. and Vicol, D.-O. and Philippa, W. (eds.) Beyond the Wage: Ordinary Work in Diverse Economies. Bristol, UK: Bristol University Press, pp. 233-253. ISBN 9781529208931. 2b1af7f3a8