Aliyu Aliyu M, Singh Dharminder, Uzoka Chino, Mishra Rakesh
School of Computing and Engineering, University of Huddersfield, Queensgate, HD1 3DH, UK.
School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
J Build Eng. 2021 Dec;44:102933. doi: 10.1016/j.jobe.2021.102933. Epub 2021 Jun 29.
In December 2019, the SARS-CoV-2 virus emerged and rapidly spread throughout the world. It causes the respiratory disease COVID-19 via the transmission of microbial pathogens within bio-aerosols during speaking, sneezing, and coughing. Therefore, understanding bioaerosol dynamics is important for developing mitigation strategies against droplet-induced infections. Computer modelling, using Computational Fluid Dynamics, has become a useful tool in studying and visualising the spread of atomised bio-droplets but the effect of using cloth facemasks has not been fully quantified. In this study, simulations were carried out to quantify the extent of respiratory droplet transfer with and without facemasks between a pair of ventilated rooms by a mathematical model for the first time. A 600-μm pore facemask was used, representing the porosity of a typical cloth facemask. Using the discrete phase model, the transport of ejected droplets was tracked. The results show that in the facemask cases, more than 96% of all the ejected droplets in all scenarios were trapped in the recommended 2 m social distancing radius around the human source. Correspondingly, only a maximum of 80% of droplets were deposited within the social distancing radius in the no facemask scenarios, with >20% airborne and transported to the second room. One-dimensional empirical correlations were developed for droplet concentration as a function of distance from the bioaerosol source. The models show that droplet concentration decays exponentially from the source especially in the facemask cases. The study therefore reinforces the importance of face coverings in lessening the transmission of possibly infected respiratory droplets that transmit highly infectious diseases such as COVID-19.
2019年12月,严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒出现并迅速在全球传播。它通过说话、打喷嚏和咳嗽时生物气溶胶中微生物病原体的传播导致呼吸道疾病冠状病毒病(COVID-19)。因此,了解生物气溶胶动态对于制定针对飞沫传播感染的缓解策略很重要。使用计算流体动力学的计算机建模已成为研究和可视化雾化生物飞沫传播的有用工具,但使用布口罩的效果尚未得到充分量化。在本研究中,首次通过数学模型进行模拟,以量化在有和没有口罩的情况下,一对通风房间之间呼吸道飞沫的传播程度。使用了一个孔径为600μm的口罩,代表典型布口罩的孔隙率。使用离散相模型跟踪喷出飞沫的传输。结果表明,在有口罩的情况下,所有场景中超过96%的喷出飞沫被困在人类源周围建议的2米社交距离半径内。相应地,在没有口罩的情况下,最多只有80%的飞沫沉积在社交距离半径内,超过20%的飞沫悬浮在空中并传输到第二个房间。建立了一维经验相关性,用于描述飞沫浓度与生物气溶胶源距离的函数关系。模型表明,飞沫浓度从源处呈指数衰减,尤其是在有口罩的情况下最为明显。因此,该研究强化了面部遮盖在减少可能感染的呼吸道飞沫传播方面的重要性,这些飞沫可传播如COVID-19等高度传染性疾病。