Thompson Laura K, Langholz Bryan, Goldberg Daniel W, Wilson John P, Ritz Beate, Tayour Carrie, Cockburn Myles
Department of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles CA USA.
Department of Geography College of Geosciences Texas A&M University College Station TX USA.
Geohealth. 2021 Dec 1;5(12):e2021GH000430. doi: 10.1029/2021GH000430. eCollection 2021 Dec.
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.
虽然暴露表面的空间分辨率有了很大提高,但我们在空间中定位人员的能力仍然是准确暴露评估的一个限制因素。在这项病例对照研究中,采用了两种对参与者位置进行地理编码的方法,以研究地理编码不确定性对加利福尼亚中央谷地居住女性环境农药暴露估计和乳腺癌风险的影响。收集了居住和职业史,并使用传统的基于点的方法以及一种新的基于区域的方法进行地理编码。地理编码的标准方法使用质心点来表示所有地理编码位置,并且除了通过排除低确定性位置外,无法根据地理编码质量调整暴露区域。相比之下,基于区域的地理编码保留了与地址匹配的完整区域(返回质心的同一区域),因此在按地理位置评估暴露时保持了适当的精度水平。纳入每个地理编码位置的总潜在暴露区域,与从这些相同区域的质心得出的估计值(使用传统的基于点的地理编码器)相比,导致了不同的暴露分类和相应的优势比估计。这些差异的方向和大小因农药而异,但在所有情况下,优势比至少相差6%,最高相差35%。这些发现证明了地理编码在暴露估计中的重要性,并表明在整个暴露评估过程中考虑地理编码的确定性和质量很重要,而不是简单地使用可获得的最佳点地理编码。