The effect of administrative boundaries and geocoding error on cancer rates in California
The effect of administrative boundaries and geocoding error on cancer rates in California
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DOI：
10.1016/j.sste.2012.02.005
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发表时间：
2012-04-01
影响因子：
3.4
通讯作者：
Cockburn, Myles G.
中科院分区：
文献类型：
--
作者：
Goldberg, Daniel W.;Cockburn, Myles G.
地理编码通常用于根据事件病例的诊断地址生成发病率地图，以帮助进行疾病监测、预防和控制。在此过程中，诊断地址被转换为纬度/经度对，然后聚合以生成不同地理比例的比率，例如人口普查区域、社区、城市、县和州。地理编码系统中使用的具体技术对输出地理编码的位置有影响，因此可能对不同地理聚集区的发病率产生影响。本文研究了当病例数据被地理编码到邮政编码水平时，内插方法的选择如何影响县级癌症发病率。应用了四种常用的面积单位内插技术，每种技术的输出被用来计算加州所有癌症的粗略的县级五年发病率。我们发现，加利福尼亚州58个县中有44个县的观察到的比率根据使用的插值法而不同，一些县的比率在不同的插值法之间增加了近400%。(C)2012爱思唯尔有限公司。保留所有权利。
Geocoding is often used to produce maps of disease rates from the diagnosis addresses of incident cases to assist with disease surveillance, prevention, and control. In this process, diagnosis addresses are converted into latitude/longitude pairs which are then aggregated to produce rates at varying geographic scales such as Census tracts, neighborhoods, cities, counties, and states. The specific techniques used within geocoding systems have an impact on where the output geocode is located and can therefore have an effect on the derivation of disease rates at different geographic aggregations. This paper investigates how county-level cancer rates are affected by the choice of interpolation method when case data are geocoded to the ZIP code level. Four commonly used areal unit interpolation techniques are applied and the output of each is used to compute crude county-level five-year incidence rates of all cancers in California. We found that the rates observed for 44 out of the 58 counties in California vary based on which interpolation method is used, with rates in some counties increasing by nearly 400% between interpolation methods. (C) 2012 Elsevier Ltd. All rights reserved.