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Updated: Jan 15, 2026

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在南卡罗来纳州的少数群体中提高种族数据公平性,以COVID-19为例:主要组件分析分析的应用

Fnu Rubaiya1, Janet O'Connor1, Lyubomir N Kolev1

  • 1South Carolina Department of Public Health, Bureau of Communicable Disease Prevention and Control, Columbia, SC, USA.

Population health metrics
|October 10, 2025
PubMed
概括

使用单个和多种族类别的组合可以提高数据公平性. 这种方法准确地代表了多样化的人口,而不是单一种族类别,这些类别可以掩盖重要的人口和健康信息.

关键词:
美国印第安人或阿拉斯加本土人.这是一个偏见的偏见.本地夏威夷人或其他太平洋岛民.主要组件分析的主要组件分析.

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