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一种新的方法来选择时间变化的多变量时间序列模型,用于监测传染病

Jie Yu1, Huimin Wang1, Miaoshuang Chen1

  • 1West China School of Public Health / West China Fourth Hospital, Sichuan University, Chengdu, Sichuan Province, China.

BMC infectious diseases
|August 15, 2024
PubMed
概括

这项研究引入了新的指标,用于选择可变时间的多变量时间序列 (MTS) 模型用于传染病监测. 这些发现指导了基于时空变化的TVP-SV-VAR和tvvarGAM模型之间的选择,以获得准确的早期预警.

关键词:
传染性疾病传染性疾病.多变量时间序列.时间空间的模式.监控和早期预警工作.时间变化的参数.

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