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Updated: Jun 7, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

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基于meta-SEIRS模型的SARS-CoV-2感染病例预测

Wenhui Zhu1, Xuefeng Tang2, Ying Chen1

  • 1West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu610065, China.

Epidemiology and infection
|November 18, 2024
PubMed
概括

这项研究引入了一种新的超易感暴露感染恢复易感 (SEIRS) 模型,通过结合时间变化的严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) 重感染率来预测COVID-19趋势. 该模型准确地预测了流行病峰值和感染人数,改善了公共卫生准备.

关键词:
在 COVID-19 疫情中,这就是SARS-CoV-2病毒.这就是meta-SEIRS.重新感染的比率是多少传输动态模型的传输动态模型

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