The flow physics of COVID-19
Rajat Mittal,Rui Ni,Jung Hee Seo +2 more
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In this article, the authors summarized what we know and what we need to learn about the science underlying these issues so that we are better prepared to tackle the next outbreak of COVID-19 or a similar disease.Abstract:
Flow physics plays a key role in nearly every facet of the COVID-19 pandemic. This includes the generation and aerosolization of virus-laden respiratory droplets from a host, its airborne dispersion and deposition on surfaces, as well as the subsequent inhalation of these bioaerosols by unsuspecting recipients. Fluid dynamics is also key to preventative measures such as the use of face masks, hand washing, ventilation of indoor environments and even social distancing. This article summarizes what we know and, more importantly, what we need to learn about the science underlying these issues so that we are better prepared to tackle the next outbreak of COVID-19 or a similar disease.read more
Citations
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An analysis of surface breakup induced by laser-generated cavitation bubbles in a turbulent liquid jet
Jiayi Zhou,Mats Andersson +1 more
TL;DR: In this paper, the authors investigated the breakup of turbulent liquid jets by cavitation bubbles by artificially introducing them by focusing laser light into the jet and characterized the induced surface deformations and ejected liquid structures using shadowgraphy with a high-speed video camera.
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Viral aerosol transmission of SARS-CoV-2 from simulated human emission in a concert hall.
Wolfgang Schade,Wolfgang Schade,Vladislav Reimer,Martin Seipenbusch,Ulrike Willer,Eike G. Hübner +5 more
TL;DR: In this paper, the dispersion of aerosols was studied experimentally in several concert halls to evaluate their airborne route and thus the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spreading.
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A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia
TL;DR: In this paper, the authors developed and analyzed a nonautonomous mathematical model for the spread of the new corona-virus disease (COVID-19) in Saudi Arabia.
Journal ArticleDOI
Air flow experiments on a train carriage—Towards understanding the risk of airborne transmission
Huw Woodward,Shiwei Fan,Rajesh K. Bhagat,Maksim Dadonau,Megan S. Davies Wykes,Elizabeth Martin,Sarkawt Hama,Arvind Kumar Tiwari,Stuart B. Dalziel,Roderic L. Jones,Prashant Kumar,Paul Linden +11 more
TL;DR: In this article, a series of experiments was undertaken on an intercity train carriage aimed at providing a "proof of concept" for three methods in improving our understanding of airflow behaviour and the accompanied dispersion of exhaled droplets.
Journal ArticleDOI
Model-based assessment of the risks of viral transmission in non-confined crowds.
TL;DR: In this article, the authors assess the risks of Covid-19 spread in diverse daily-life situations involving crowds of maskless pedestrians, mostly outdoors, and develop a method to infer the global number of new infections from patchy observations, by coupling ad hoc spatial models for respiratory droplets to detailed field-data about pedestrian trajectories and head orientations.
References
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