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Updated: Jul 3, 2025

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检查社会脆弱性指数与COVID-19发病率和死亡率之间的关联,使用时空贝叶斯模型

Daniel P Johnson1, Claudio Owusu2

  • 1Indiana University - Purdue University at Indianapolis, United States.

Spatial and spatio-temporal epidemiology
|February 14, 2024
PubMed
概括

这项研究比较了CDC社会脆弱性指数 (SVI) 和社会脆弱性指数 (SoVI) 以预测印第安纳州的COVID-19风险. SoVI更好地预测了COVID-19死亡,而CDC SVI预测了感染,突出了这些社会脆弱性措施的差异.

关键词:
贝叶斯的时空建模贝叶斯的时空建模.美国疾病预防控制中心 (CDC) SVICOVID-19 的结果疾病绘制地图.这就是苏维埃.社会脆弱性 社会的脆弱性空间流行病学空间流行病学时间空间趋势分析.

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