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贝叶斯的时空变化系数模型,用于估计与呼吸道感染相关的过度死亡

Yuzi Zhang1, Howard H Chang1, Angela D Iuliano2

  • 1Department of Biostatistics and Bioinformatics, The Rollins School of Public Health of Emory University, 1518 Clifton Rd. N.E., Atlanta, GA 30322, USA.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)
|July 15, 2025
PubMed
概括

这项研究开发了一种贝叶斯的时空模型,以估计COVID-19等呼吸道感染导致的过度死亡. 该模型揭示了COVID-19死亡人数的显著低估,特别是在年轻人中.

关键词:
贝叶斯的等级模型是贝叶斯的等级模型.在 COVID-19 疫情中,过度的死亡率过度的死亡率空间时间建模.不同系数的变化.

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