Public interest in localized cancer incidence and uncertainty in cancer surveillance data: Clarifying uncertainty in residential geolocation to concerned citizens

Christian Klaus , Dora Il’yasova
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Abstract

Recently, interest in geospatial cancer analysis involving smaller geographic areas, such as sub-county regions in the US and districts in Germany, has been expressed by concerned citizens. At the same time, locally elevated cancer incidence sparks public concern as attributed to potential environmental factors, impacting citizens’ sense of well-being and property values. In these periods of collective anxiety, the scrutiny of the quality of cancer surveillance data, which is primarily the responsibility of CCRs, increases tremendously as well as the public pressure to explain uncertainty in the data. Residential geolocation harbors the highest level of uncertainty compared to other patient’s characteristics. Residential geolocation involves geocoding record linkage across different information sources. Uncertainty arises when a patient’s characteristics diverge among various sources. Here, we present how a simple index of confidence in residential geolocation can explain uncertainty in cancer surveillance data. Efforts invested in clarifying confidence in residential geolocation to citizens may improve relationships between CCRs and the public and also improve georeferenced data in areas that need such improvement badly. The purpose of this publication is to set up the stage for a discussion within the cancer surveillance community and possibly the public.
局部癌症发病率的公众利益和癌症监测数据的不确定性:向相关公民澄清居住地理位置的不确定性
最近,关心癌症的公民对涉及较小地理区域的地理空间癌症分析感兴趣,例如美国的副县区域和德国的地区。与此同时,当地癌症发病率的上升引发了公众的关注,这归因于潜在的环境因素,影响了市民的幸福感和财产价值。在这些集体焦虑的时期,对癌症监测数据质量的审查(这主要是ccr的责任)以及公众解释数据不确定性的压力都大大增加。与其他患者的特征相比,居住地理位置具有最高的不确定性。住宅地理定位涉及跨不同信息源的地理编码记录链接。当病人的特征在不同来源之间出现分歧时,不确定性就产生了。在这里,我们提出了住宅地理位置的简单信心指数如何解释癌症监测数据的不确定性。向公民澄清对住宅地理位置的信心的努力可以改善ccr与公众之间的关系,也可以改善急需改善的地区的地理参考数据。本出版物的目的是为癌症监测界和可能的公众建立一个讨论的舞台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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