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基于计算流体动力学的疫情模型及大流行情景。

The computational fluid dynamics-based epidemic model and the pandemic scenarios.

作者信息

Dbouk Talib, Drikakis Dimitris

机构信息

IMT Nord Europe, Institut Mines-Télécom, University of Lille, F-59000 Lille, France.

University of Nicosia, Nicosia CY-2417, Cyprus.

出版信息

Phys Fluids (1994). 2022 Feb;34(2):027104. doi: 10.1063/5.0082090. Epub 2022 Feb 2.

DOI:10.1063/5.0082090
PMID:35342276
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8939527/
Abstract

This study presents a computational fluid dynamics, susceptible-infected-recovered-based epidemic model that relates weather conditions to airborne virus transmission dynamics. The model considers the relationship between weather seasonality, airborne virus transmission, and pandemic outbreaks. We examine multiple scenarios of the COVID-19 fifth wave in London, United Kingdom, showing the potential peak and the period occurring. The study also shows the importance of fluid dynamics and computational modeling in developing more advanced epidemiological models in the future.

摘要

本研究提出了一种基于计算流体动力学、易感-感染-康复的流行病模型,该模型将天气状况与空气传播病毒的传播动态联系起来。该模型考虑了季节变化、空气传播病毒传播和大流行爆发之间的关系。我们研究了英国伦敦新冠疫情第五波的多种情况,展示了可能出现的峰值和时期。该研究还表明了流体动力学和计算建模在未来开发更先进的流行病学模型中的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/1dadc7c3ad52/PHFLE6-000034-027104_1-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/f67e52281e40/PHFLE6-000034-027104_1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/a58f84bae3da/PHFLE6-000034-027104_1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/e7359038608c/PHFLE6-000034-027104_1-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/4b80da1cc225/PHFLE6-000034-027104_1-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/1dadc7c3ad52/PHFLE6-000034-027104_1-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/f67e52281e40/PHFLE6-000034-027104_1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/a58f84bae3da/PHFLE6-000034-027104_1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/e7359038608c/PHFLE6-000034-027104_1-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/4b80da1cc225/PHFLE6-000034-027104_1-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f2/8939527/1dadc7c3ad52/PHFLE6-000034-027104_1-g005.jpg

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Phys Fluids (1994). 2021 Oct;33(10):103301. doi: 10.1063/5.0064115. Epub 2021 Oct 1.
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Respiratory droplets interception in fibrous porous media.纤维多孔介质中呼吸道飞沫的截留
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How coronavirus survives for hours in aerosols.冠状病毒如何在气溶胶中存活数小时。
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Correcting pandemic data analysis through environmental fluid dynamics.通过环境流体动力学校正大流行数据分析。
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On airborne virus transmission in elevators and confined spaces.关于电梯和密闭空间中的空气传播病毒
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Airborne transmission of virus-laden aerosols inside a music classroom: Effects of portable purifiers and aerosol injection rates.音乐教室内含病毒气溶胶的空气传播:便携式净化器和气溶胶注入速率的影响
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