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关于COVID-19动态的比较研究:罗马尼亚,意大利和瑞士的数学建模,预测和资源分配策略

Cristina-Maria Stăncioi1, Iulia Adina Ștefan1, Violeta Briciu2,3

  • 1Automation Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.

Bioengineering (Basel, Switzerland)
|September 27, 2025
PubMed
概括

最初在罗马尼亚开发的COVID-19动态的数学模型在意大利和瑞士应用时显示出高预测精度 (>98.59%). 这种统一的建模框架显示了跨不同国家背景的可转移性.

关键词:
在 COVID-19 疫情中,在SARS-CoV-2病毒.控制设计 控制设计处理数据的数据处理.数学模型是一个数学模型.神经网络的神经网络的神经网络大流行病的动态.预测 预测 预测 预测

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