地铁车厢内通风对COVID-19传播影响的回归模型

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI:10.1109/NILES53778.2021.9600531

M. El-Salamony, Ahmed Moharam, A. Guaily

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引用次数: 0

摘要

数值研究了不同通风参数对地铁车厢内新型冠状病毒感染潜力的影响。两个关键指标被用来量化这种潜力。在数值结果的基础上，对这些关键参数进行了回归分析，得出了最合适的回归模型。所建立的回归模型有助于量化不同通气情况下的感染风险。

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Regression Modeling for the Ventilation Effect on COVID-19 Spreading in Metro Wagons

The effect of different ventilation parameters on the infection potential of COVID-19 in a metro wagon is numerically studied. Two key indicators are used to quantify this potential. Based on the numerical results a regression analysis is performed to come up with the most suitable regression model for these key parameters. The proposed regression models are helpful in quantifying the infection risk at different ventilation scenarios.

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来源期刊

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)

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