Santos-Lozada Alexis R
Pennsylvania State University, University Park, PA, USA.
Socius. 2021 Jan-Dec;7. doi: 10.1177/23780231211023642. Epub 2021 Jun 18.
Descriptions of the effect of the implementation of a new disclosure avoidance system (DAS), which relies on differential privacy, emphasize the impact of our understanding of contemporary social and health dynamics. However, focusing on overall population may obscure important changes in subpopulation indicators such as age-specific rates resulting from this implementation. The author provides a visualization that compares infant mortality rates calculated using 2009-2011 county-level average death counts and denominators derived from the traditional and proposed DASs. Death counts come from the National Center for Health Statistics and denominators come from the first U.S. Census Bureau demonstration products. These visualizations indicate that infant mortality rates produced using the proposed DAS are different from those produced using the traditional methods, with higher variation observed for nonmetropolitan counties and areas with smaller populations. These findings suggest that the proposed DAS will hinder our ability to understand contemporary health dynamics in the United States.
对一种依赖差分隐私的新的披露规避系统(DAS)实施效果的描述,强调了我们对当代社会和健康动态理解的影响。然而,关注总体人群可能会掩盖因实施该系统而导致的亚人群指标(如特定年龄率)的重要变化。作者提供了一种可视化方法,比较了使用2009 - 2011年县级平均死亡人数以及源自传统和提议的DAS的分母计算出的婴儿死亡率。死亡人数来自国家卫生统计中心,分母来自美国人口普查局的首批示范产品。这些可视化结果表明,使用提议的DAS得出的婴儿死亡率与使用传统方法得出的不同,在非都市县和人口较少的地区观察到更高的差异。这些发现表明,提议的DAS将阻碍我们理解美国当代健康动态的能力。