Widrich Jason, Nation Shelley, Chippada Prithvi, Wiener Eric, Jenkins Eldon, Peters Landan
Anesthesiology, College of Medicine - Jacksonville, University of Florida, Jacksonville, USA.
Industrial Systems Engineering, Georgia Institute of Technology, Atlanta, USA.
Cureus. 2021 Jan 20;13(1):e12820. doi: 10.7759/cureus.12820.
This investigation analyzed the impact of place-based inequities on mortality rates in 2014. The team combined mortality data with metrics on health care accessibility, socioeconomic deprivation, and other variables available from publicly available data sets. The investigation team created a centralized database for visualizations that combined mortality data by diagnosis, socioeconomic data, health resource data, and an index of area deprivation. Choropleth maps, scatterplots, and regression analyses were performed to identify the major areas of mortality and how well different measures of the social determinants of health (SDOH) correlate to mortality data. A bivariate color scheme to visually capture both outcomes and SDOH in a choropleth map was shown to be a compact and novel manner to display complex epidemiologic data.
本调查分析了2014年基于地点的不平等对死亡率的影响。该团队将死亡率数据与医疗保健可及性、社会经济剥夺及其他可从公开数据集中获取的变量指标相结合。调查团队创建了一个用于可视化的集中数据库，该数据库整合了按诊断分类的死亡率数据、社会经济数据、卫生资源数据以及地区剥夺指数。进行了分级统计图、散点图和回归分析，以确定死亡率的主要区域，以及健康的社会决定因素（SDOH）的不同衡量指标与死亡率数据的关联程度。在分级统计图中使用双变量配色方案直观呈现结果和SDOH，被证明是一种紧凑且新颖的方式来展示复杂的流行病学数据。
