A mathematical framework for estimating risk of airborne transmission of COVID-19 with application to face mask use and social distancing.
A mathematical framework for estimating risk of airborne transmission of COVID-19 with application to face mask use and social distancing.
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DOI：
10.1063/5.0025476
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发表时间：
2020-10-01
期刊：
影响因子：
--
通讯作者：
Wu W
中科院分区：
文献类型：
--
作者：
Mittal R;Meneveau C;Wu W
提出了一种用于估计 COVID-19 等呼吸道感染通过空气传播的风险的数学模型。该模型采用流体动力学的基本概念，并结合了此类疾病通过空气传播所涉及的已知因素。该模型数学形式的简单性是经过设计的，因此它不仅可以作为跨学科边界的科学探究的共同基础，而且还可以被科学界和学术界以外的广大受众所理解。详细讨论了该模型的注意事项和局限性。该模型用于评估由各种织物制成的面罩所提供的传播保护。通过将模型与规范流中标量色散的可用和新的大涡模拟数据相结合，还可以量化与宿主和易受影响者之间的物理距离增加相关的传播风险的降低。最后，还评估了宿主和易感者的体力活动水平（或运动强度）对增加传播风险的影响。
A mathematical model for estimating the risk of airborne transmission of a respiratory infection such as COVID-19 is presented. The model employs basic concepts from fluid dynamics and incorporates the known scope of factors involved in the airborne transmission of such diseases. Simplicity in the mathematical form of the model is by design so that it can serve not only as a common basis for scientific inquiry across disciplinary boundaries but it can also be understandable by a broad audience outside science and academia. The caveats and limitations of the model are discussed in detail. The model is used to assess the protection from transmission afforded by face coverings made from a variety of fabrics. The reduction in the transmission risk associated with increased physical distance between the host and susceptible is also quantified by coupling the model with available and new large eddy simulation data on scalar dispersion in canonical flows. Finally, the effect of the level of physical activity (or exercise intensity) of the host and the susceptible in enhancing the transmission risk is also assessed.
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