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在沙特阿拉伯使用SEIRD模型参数与MEWMA监测COVID-19大流行

Faten S Alamri1, Edward L Boone2, Ryad Ghanam3

  • 1Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia.

Journal of infection and public health
|November 8, 2023
PubMed
概括

这项研究引入了一种使用易感,暴露,感染,恢复死亡 (SEIRD) 模型和多变量指数加权平均 (MEWMA) 来监测COVID-19大流行动态的新方法. 该方法有效地跟踪疾病参数的变化,帮助实时的公共卫生决策.

关键词:
增强的马尔科夫链蒙特卡罗在COVID-19大流行中,指数加权移动平均线控制多变量控制多变量控制.统计过程监测 统计过程监测

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