捕获紧急调度地址点作为地理编码候选人,以量化对住宅地理位置的有限信心
Christian A Klaus1, Kevin A Henry2,3, Dora Il'yasova4,5
1North Carolina Central Cancer Registry, Raleigh, NC, USA. Christian.klaus@dhhs.nc.gov.
International journal of health geographics
|September 26, 2023
概括
新的指标量化了对癌症映射患者地址的信心. 农村地区的信心较低,这有助于提高癌症发病率数据的透明度,并建立公众的信任.
科学领域:
- 地理信息系统 (GIS) 和公共卫生监督
- 空间流行病学 空间流行病学
- 数据质量评估数据质量评估
背景情况:
- 由于公众的担忧,美国疾病预防控制中心旨在在分县规模上公布癌症发病率.
- 精确的住宅地理位置对于更细微的地理空间分析至关重要.
- 对患者地址数据的信任是子县癌症监测的关键限制.
研究的目的:
- 为量化对住宅地理位置的信心制定和提出总结指标.
- 通过使用实际的地理编码数据,以近似的理论住宅地址区分功率 (RADP).
- 以可靠的地理位置数据支持在分县地区的癌症发病率监测.
主要方法:
- 定义的住宅地址区分权 (RADP) 和其实际近似,住宅地理位置区分权 (RGDP).
- 使用紧急调度 (ED) 地址点等效概率的候选者 (CEL) 来量化GDP.
- 应用概率,确定性和交互性地质编码,将5807例癌症病例与NC CCR联系起来.
主要成果:
- 批量匹配地理编码 (概率/确定性) 实现了高连接率 (86.0%到ED点/CEL).
- 在北卡罗来纳州各县计算的总结RGDP (sRGDP) 和基于ED的RGDP (ED_sRGDP).
- 在sRGDP和ED_sRGDP中发现了显著的变化,在农村县的值较低 (p < 0.05).
结论:
- 开发了sRGDP指标,以捕捉使用ED地址点对住宅地理位置的信心.
- 通过其在各县的变化和农村地区较低的值来证明sRGDP的实用性.
- 倡导将癌症发病率数据与sRGDP和ED_sRGDP进行补充,以提高透明度和公众信任.
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