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Area‐Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty

While the spatial resolution of exposure surfaces has greatly improved, our ability to locate people in space remains a limiting factor in accurate exposure assessment. In this case‐control study, two approaches to geocoding participant locations were used to study the impact of geocoding uncertaint...

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Autores principales: Thompson, Laura K., Langholz, Bryan, Goldberg, Daniel W., Wilson, John P., Ritz, Beate, Tayour, Carrie, Cockburn, Myles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612311/
https://www.ncbi.nlm.nih.gov/pubmed/34859166
http://dx.doi.org/10.1029/2021GH000430
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author Thompson, Laura K.
Langholz, Bryan
Goldberg, Daniel W.
Wilson, John P.
Ritz, Beate
Tayour, Carrie
Cockburn, Myles
author_facet Thompson, Laura K.
Langholz, Bryan
Goldberg, Daniel W.
Wilson, John P.
Ritz, Beate
Tayour, Carrie
Cockburn, Myles
author_sort Thompson, Laura K.
collection PubMed
description While the spatial resolution of exposure surfaces has greatly improved, our ability to locate people in space remains a limiting factor in accurate exposure assessment. In this case‐control study, two approaches to geocoding participant locations were used to study the impact of geocoding uncertainty on the estimation of ambient pesticide exposure and breast cancer risk among women living in California's Central Valley. Residential and occupational histories were collected and geocoded using a traditional point‐based method along with a novel area‐based method. The standard approach to geocoding uses centroid points to represent all geocoded locations, and is unable to adapt exposure areas based on geocode quality, except through the exclusion of low‐certainty locations. In contrast, area‐based geocoding retains the complete area to which an address matched (the same area from which the centroid is returned), and therefore maintains the appropriate level of precision when it comes to assessing exposure by geography. Incorporating the total potential exposure area for each geocoded location resulted in different exposure classifications and resulting odds ratio estimates than estimates derived from the centroids of those same areas (using a traditional point‐based geocoder). The direction and magnitude of these differences varied by pesticide, but in all cases odds ratios differed by at least 6% and up to 35%. These findings demonstrate the importance of geocoding in exposure estimation and suggest it is important to consider geocode certainty and quality throughout exposure assessment, rather than simply using the best available point geocodes.
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spelling pubmed-86123112021-12-01 Area‐Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty Thompson, Laura K. Langholz, Bryan Goldberg, Daniel W. Wilson, John P. Ritz, Beate Tayour, Carrie Cockburn, Myles Geohealth Research Article While the spatial resolution of exposure surfaces has greatly improved, our ability to locate people in space remains a limiting factor in accurate exposure assessment. In this case‐control study, two approaches to geocoding participant locations were used to study the impact of geocoding uncertainty on the estimation of ambient pesticide exposure and breast cancer risk among women living in California's Central Valley. Residential and occupational histories were collected and geocoded using a traditional point‐based method along with a novel area‐based method. The standard approach to geocoding uses centroid points to represent all geocoded locations, and is unable to adapt exposure areas based on geocode quality, except through the exclusion of low‐certainty locations. In contrast, area‐based geocoding retains the complete area to which an address matched (the same area from which the centroid is returned), and therefore maintains the appropriate level of precision when it comes to assessing exposure by geography. Incorporating the total potential exposure area for each geocoded location resulted in different exposure classifications and resulting odds ratio estimates than estimates derived from the centroids of those same areas (using a traditional point‐based geocoder). The direction and magnitude of these differences varied by pesticide, but in all cases odds ratios differed by at least 6% and up to 35%. These findings demonstrate the importance of geocoding in exposure estimation and suggest it is important to consider geocode certainty and quality throughout exposure assessment, rather than simply using the best available point geocodes. John Wiley and Sons Inc. 2021-12-01 /pmc/articles/PMC8612311/ /pubmed/34859166 http://dx.doi.org/10.1029/2021GH000430 Text en © 2021 The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Article
Thompson, Laura K.
Langholz, Bryan
Goldberg, Daniel W.
Wilson, John P.
Ritz, Beate
Tayour, Carrie
Cockburn, Myles
Area‐Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty
title Area‐Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty
title_full Area‐Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty
title_fullStr Area‐Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty
title_full_unstemmed Area‐Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty
title_short Area‐Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty
title_sort area‐based geocoding: an approach to exposure assessment incorporating positional uncertainty
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612311/
https://www.ncbi.nlm.nih.gov/pubmed/34859166
http://dx.doi.org/10.1029/2021GH000430
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