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Stamatina Lamprinakou1, Axel Gandy2

  • 1Department of Statistics, Texas A&M University, College Station, USA.

PubMed
概括

这项研究通过结合年龄分层,使用隐性标记的霍克斯过程和内核密度粒子过器 (KDPF) 来提高流行病的建模,以准确地跟踪和预测感染. 根据年龄结构的模型提供了对每个组的干预和行为变化的实时洞察力,而无需显著的计算增长.

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