当前位置:
X-MOL 学术
›
Comput. Mech.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Modeling and simulation of the infection zone from a cough
Computational Mechanics ( IF 4.1 ) Pub Date : 2020-07-10 , DOI: 10.1007/s00466-020-01875-5 T I Zohdi 1
Computational Mechanics ( IF 4.1 ) Pub Date : 2020-07-10 , DOI: 10.1007/s00466-020-01875-5 T I Zohdi 1
Affiliation
The pandemic of 2020 has led to a huge interest of modeling and simulation of infectious diseases. One of the central questions is the potential infection zone produced by a cough. In this paper, mathematical models are developed to simulate the progressive time-evolution of the distribution of locations of particles produced by a cough. Analytical and numerical studies are undertaken. The models ascertain the range, distribution and settling time of the particles under the influence of gravity and drag from the surrounding air. Beyond qualitative trends that illustrate that large particles travel far and settle quickly, while small particles do not travel far and settle slowly, the models provide quantitative results for distances travelled and settling times, which are needed for constructing social distancing policies and workplace protocols.
中文翻译:
咳嗽感染区的建模与仿真
2020 年的大流行引发了对传染病建模和模拟的巨大兴趣。中心问题之一是咳嗽产生的潜在感染区。在本文中,开发了数学模型来模拟咳嗽产生的颗粒位置分布的渐进时间演变。进行了分析和数值研究。这些模型确定了在重力和周围空气阻力影响下颗粒的范围、分布和沉降时间。除了说明大颗粒行进较远并快速沉降的定性趋势外,这些模型还提供了行进距离和沉降时间的定量结果,这是制定社会疏离政策和工作场所协议所必需的。
更新日期:2020-07-10
中文翻译:
咳嗽感染区的建模与仿真
2020 年的大流行引发了对传染病建模和模拟的巨大兴趣。中心问题之一是咳嗽产生的潜在感染区。在本文中,开发了数学模型来模拟咳嗽产生的颗粒位置分布的渐进时间演变。进行了分析和数值研究。这些模型确定了在重力和周围空气阻力影响下颗粒的范围、分布和沉降时间。除了说明大颗粒行进较远并快速沉降的定性趋势外,这些模型还提供了行进距离和沉降时间的定量结果,这是制定社会疏离政策和工作场所协议所必需的。