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使用随机演变,峰值检测和时间序列的COVID-19动态的长期分析

Vaghawan Prasad Ojha1,2, Shantia Yarahmadian1, Richard Hunt Bobo1

  • 1Department of Mathematics and Statistics, Mississippi State University, Mississippi State, MS 39762 USA.

Stochastic environmental research and risk assessment : research journal
|June 26, 2023
PubMed
概括

使用随机进化的数学建模预测了COVID-19动态的长期行为,有助于决定大流行影响. 这种方法有助于分析疫苗接种的影响,并有效地比较区域流行病阶段.

关键词:
在阿里马,阿里马就是阿里马.在 COVID-19 疫情中,不同的马尔科夫噪声随机进化是一种随机的进化.萨里马 萨里马 萨里马 萨里马

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