MODELING A NOVEL METHOD TO DIMINISH AIRBORNE COVID-19 TRANSMISSION IN A HOSPITAL ROOM

R. Prichard, W. Strasser, Scott Leonard, B. Walsh
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Abstract

In this paper, we used a computational fluid dynamics model to evaluate the effects of a novel medical apparatus (“Felix-1”) on the spread of contagion in a hospital room. We found that Felix-1, consisting of nasal cannula and an oxygen mask, captured 96% of the mass of exhaled particles ranging from 0.1µm to 100µm. This is more effective than a surgical mask. It was less effective at capturing small particles, but their mass is insubstantial. The caregivers inhaled only 24 parts per billion of particle mass exhaled by the patients. Our model included a full hospital room with two patients and four caregivers, each represented using medical imagery and realistic nonuniform breathing rate curves. Room ventilation was also modeled, and we allowed over a minute of flow time for the room to reach quasi-steady-state, which we evaluated using flow statistics and particle tracking results. © 2021 Begell House Inc.. All rights reserved.
模拟一种减少COVID-19在医院病房中空气传播的新方法
在本文中,我们使用计算流体动力学模型来评估一种新型医疗设备(“Felix-1”)对病房内传染病传播的影响。我们发现Felix-1由鼻插管和氧气面罩组成,捕获了96%的0.1µm至100µm的呼出颗粒质量。这比医用口罩更有效。它在捕获小粒子方面效果较差,但它们的质量微不足道。护理人员只吸入了患者呼出的颗粒质量的十亿分之24。我们的模型包括一个完整的病房,有两个病人和四个护理人员,每个人都使用医学图像和现实的非均匀呼吸率曲线来表示。房间通风也被建模,我们允许超过一分钟的流动时间为房间达到准稳态,我们使用流量统计和粒子跟踪结果进行评估。©2021 Begell House Inc..版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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