美国县 COVID-19 死亡的社会经济背景:PLS-SEM 分析
1Department of Sociology, California State University, East Bay, 25800 Carlos Bee Blvd, Hayward, CA, 94542, USA. Benjamin.bowser@csueastbay.edu.
Journal of racial and ethnic health disparities
|August 2, 2023
概括
了解COVID-19的差异需要检查社会,经济和环境因素. 这项研究发现,虽然年龄和经济地位是整体关键预测因素,但特定的社会影响在种族群体之间有很大的差异,需要有针对性的预防策略.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 社会学 社会学 社会学
背景情况:
- 随着COVID-19的流行,死亡率的种族差异显著地增加了.
- 了解社会,经济和环境因素的复杂相互作用对于解释这些差异至关重要.
研究的目的:
- 调查生态,种族,人口,经济和政党因素对不同种族群体COVID-19死亡的影响.
- 确定白人,黑人和西班牙裔美国人群中COVID-19死亡率的特定驱动因素.
主要方法:
- 利用来自美国国家卫生统计中心 (NCHS) 的美国各县的种族和西班牙裔起源的COVID-19死亡数据.
- 采用了部分最小平方 (PLS) 统计方法来分析社会经济数据中的多对线性.
- 使用SmartPLS4软件分析了特定种族群体内的COVID-19总体死亡和死亡.
主要成果:
- 无论种族,COVID-19死亡的最强预测因素是65岁或以上居民的比例.
- 总体而言,经济因素是第二个最有影响力的预测因素.
- 在每个种族群体内,不同的因素对COVID-19死亡作出了重大贡献,这表明各种社会影响.
结论:
- 一种"适合所有人"的方法预防COVID-19是无效的.
- 针对高风险种族和社会群体的特定社会和经济环境量身定制的有针对性的预防策略对于精确的信息传递和参与至关重要.
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