新地理区域的地理空间数据聚合方法:验证国会选区的预期寿命估计值。

IF 4.7 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Alina Schnake-Mahl, Giancarlo Anfuso, Stephanie M Hernandez, Usama Bilal
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引用次数: 0

摘要

背景:地点是健康的关键决定因素。最近有一些新颖的分析探讨了对人口普查区等小地域的健康结果估计,以及将健康结果汇总到国会选区等具有可问责政治代表的地缘政治地域。方法:在此,我们比较了计算宾夕法尼亚州国会选区预期寿命数据的两种来源和方法。我们使用了美国小地区预期寿命估算项目(LEEP)的 2010-2015 年人口普查区预期寿命估算数据和asymetric 方法来计算汇总到国会选区级别的人口加权预期寿命。利用地理参照生命统计数据,我们将特定年龄人口普查区的死亡人数和人口数汇总到国会选区,并使用简略生命表估算预期寿命。为了验证二元汇总估计值,我们比较了绝对差异,评估了相关性,并绘制了布兰德-阿尔特曼图来直观显示两种测量方法之间的一致性:我们发现,使用基于数据计量的 LEEP 模型方法得出的国会选区出生时预期寿命估算值与生命统计直接估算值之间具有很强的一致性,但较高年龄段(75 岁及以上)的预期寿命相关性较弱:这一验证有助于我们了解包括国会选区在内的新地理区域的地理空间汇总方法。汇总到国会选区地理区域的健康结果数据可为国会制定旨在改善人口健康结果的政策提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial Data Aggregation Methods for Novel Geographies: Validating Congressional District Life Expectancy Estimates.

Background: Place is a critical determinant of health. Recent novel analyses have explored health outcome estimation for small geographies, such as census tracts, as well as health outcome aggregation to geopolitical geographies with accountable political representatives, such as congressional districts. In one such application, combining these approaches, researchers aggregated census tract estimates of life expectancy to the congressional district level to derive local estimates, but such an approach has not been validated.

Methods: Here, we compared two sources and approaches to calculating life expectancy data for Pennsylvania congressional districts. We used 2010-2015 census tract life expectancy estimates from the US Small-area Life Expectancy Estimates Project (LEEP) and dasymetric methods to compute population-weighted life expectancy aggregated to the congressional district level. Using georeferenced Vital Statistics data, we aggregated age-specific census tract death and population counts to congressional districts and used abridged life tables to estimate life expectancy. To validate the dasymetric aggregated estimates we compared absolute differences, assessed the correlation, and created Bland-Altman plots to visualize the agreement between the two measures.

Results: We found strong agreement between congressional district estimates of life expectancy at birth derived using the dasymetric LEEP model-based approach and Vital Statistics direct estimates approach, though life expectancy at older ages (75 and older) showed weak correlations.

Conclusion: This validation contributes to our understanding of geospatial aggregation methods for novel geographies including congressional districts. Health outcome data aggregated to the congressional district geography can support congressional policy making aimed at improving population health outcomes.

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来源期刊
Epidemiology
Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.70
自引率
3.70%
发文量
177
审稿时长
6-12 weeks
期刊介绍: Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.
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