论文标题
面部覆盖物在减少Covid-19的传播中的功效:基于液滴捕获模型的计算
Efficacy of face coverings in reducing transmission of COVID-19: calculations based on models of droplet capture
论文作者
论文摘要
在COVID-19-19大流行中,更具争议性的问题是使用口罩和遮盖物。大部分问题归结为这个问题 - 脸部覆盖有多有效?解决这个问题的一种手段是回顾我们对掩盖和覆盖物运行的物理机制的理解 - 空间截距,惯性撞击,扩散和静电捕获。我们询问这些程度可以用来预测覆盖物的功效。我们结合了过滤文献中存在的这些机制模型的预测,并将预测与最新的实验和晶格玻尔兹曼模拟进行了比较,并与前者找到了合理的一致性,并且与后者良好一致。在这些结果的基础上,我们探索了编织棉织物的参数空间,以表明可以在理想条件下以可比的过滤性能与外科面膜构建三层布面具。因此,可重复使用的布面膜提出了一种环保的替代手术面罩的替代品,只要面部密封足以最大程度地减少泄漏即可。
In the COVID--19 pandemic, among the more controversial issues is the use of masks and face coverings. Much of the concern boils down to the question -- just how effective are face coverings? One means to address this question is to review our understanding of the physical mechanisms by which masks and coverings operate -- steric interception, inertial impaction, diffusion and electrostatic capture. We enquire as to what extent these can be used to predict the efficacy of coverings. We combine the predictions of the models of these mechanisms which exist in the filtration literature and compare the predictions with recent experiments and lattice Boltzmann simulations, and find reasonable agreement with the former and good agreement with the latter. Building on these results, we explore the parameter space for woven cotton fabrics to show that three-layered cloth masks can be constructed with comparable filtration performance to surgical masks under ideal conditions. Reusable cloth masks thus present an environmentally friendly alternative to surgical masks so long as the face seal is adequate enough to minimise leakage.