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打喷嚏和咳嗽时携带病毒的唾液飞沫分布的数值模拟。

Numerical modeling of the distribution of virus carrying saliva droplets during sneeze and cough.

作者信息

Pendar Mohammad-Reza, Páscoa José Carlos

机构信息

Department of Electromechanical Engineering, C-MAST (Center for Mechanical and Aerospace Sciences and Technologies), University of Beira Interior, Covilhã, Castelo Branco 6201-001, Portugal.

出版信息

Phys Fluids (1994). 2020 Aug 1;32(8):083305. doi: 10.1063/5.0018432. Epub 2020 Aug 11.

Abstract

Violent respiratory diseases, i.e., coronavirus (COVID-19), spread through saliva in coughs and sneezes or are even exhaled in the form of microbial pathogen micro-droplets. Therefore, in this work, a comprehensive fully coupled Eulerian-Lagrangian method has been applied for infection control, thus leading to a deeper understanding of the saliva-disease-carrier droplet transmission mechanisms and also of their trajectory tracking by using the OpenFOAM package. This model determines the droplet-air interactions, the breakup process, and turbulent dispersion forces on each micro-droplet that is expelled within the respiratory tract in a correct way. By examining a broad range of initial velocities, size distributions, injection angles of saliva micro-droplets, and mouth opening areas, we predict the maximum opening area that can be driven by micro-droplets. One important contribution of this work is to present a correlation for the length and width of the overall direct maximum reach of the micro-droplets, driven by a wide range of mild coughs to intense sneezes. Our results indicate that the movement of the expelled droplets is mainly influenced by their size, angle, velocity, and environmental factors. During a virus crisis, like COVID-19, this paper can be used to determine the "social distance" between individuals to avoid contamination, by inhaling or touching their bodies, due to these saliva-disease-carrier droplets in sneezing, at various social distance positions such as face-to-face, meeting standing, and near equipment. The safe distance must be increased to around 4 m during a sneeze. By wearing a face mask and by bending the head during a sneeze as a protective action, we can reduce the contamination area to one-third and three-quarters, respectively. Furthermore, the dispersion of the film of the expelled saliva micro-droplets and the spatial relationship between the subjects, which affects the airflow inside the room, are also analyzed in detail.

摘要

烈性呼吸道疾病,即冠状病毒病(COVID-19),通过咳嗽和打喷嚏时的唾液传播,甚至以微生物病原体微滴的形式呼出。因此,在这项工作中,一种全面的完全耦合欧拉-拉格朗日方法已被应用于感染控制,从而通过使用OpenFOAM软件包,更深入地了解唾液-疾病载体微滴的传播机制及其轨迹跟踪。该模型以正确的方式确定微滴与空气的相互作用、破碎过程以及呼吸道内每个被排出微滴上的湍流分散力。通过研究唾液微滴的广泛初始速度、尺寸分布、喷射角度和开口面积,我们预测了微滴能够驱动的最大开口面积。这项工作的一个重要贡献是给出了由各种轻度咳嗽到强烈喷嚏驱动的微滴总体直接最大射程的长度和宽度的相关性。我们的结果表明,被排出微滴的运动主要受其大小、角度、速度和环境因素的影响。在像COVID-19这样的病毒危机期间,本文可用于确定个体之间的“社交距离”,以避免因打喷嚏时这些携带疾病的唾液微滴通过吸入或接触身体而造成污染,在诸如面对面、站立会面和靠近设备等各种社交距离位置。打喷嚏时安全距离必须增加到约4米。通过佩戴口罩以及打喷嚏时低头作为保护措施,我们可以分别将污染区域减少到三分之一和四分之三。此外,还详细分析了被排出的唾液微滴薄膜的扩散以及影响室内气流的受试者之间的空间关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d268/8726427/dd82bd8553db/PHFLE6-000032-083305_1-g001.jpg

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