Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing

Abstract The COVID-19 pandemic is largely caused by airborne transmission, a phenomenon that rapidly gained the attention of the scientific community. Social distancing is of paramount importance to limit the spread of the disease, but to design social distancing rules on a scientific basis the proc...

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Main Authors: M. E. Rosti, S. Olivieri, M. Cavaiola, A. Seminara, A. Mazzino
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-80078-7
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spelling doaj-6008c60c8fca464f86c5cfacefa21eb62021-01-03T12:16:36ZengNature Publishing GroupScientific Reports2045-23222020-12-011011910.1038/s41598-020-80078-7Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancingM. E. Rosti0S. Olivieri1M. Cavaiola2A. Seminara3A. Mazzino4Complex Fluids and Flows Unit, Okinawa Institute of Science and Technology Graduate UniversityComplex Fluids and Flows Unit, Okinawa Institute of Science and Technology Graduate UniversityDepartment of Civil, Chemical and Environmental Engineering (DICCA), University of GenovaCNRS, Institut de Physique de Nice, UMR7010, Université Côte d’AzurDepartment of Civil, Chemical and Environmental Engineering (DICCA), University of GenovaAbstract The COVID-19 pandemic is largely caused by airborne transmission, a phenomenon that rapidly gained the attention of the scientific community. Social distancing is of paramount importance to limit the spread of the disease, but to design social distancing rules on a scientific basis the process of dispersal of virus-containing respiratory droplets must be understood. Here, we demonstrate that available knowledge is largely inadequate to make predictions on the reach of infectious droplets emitted during a cough and on their infectious potential. We follow the position and evaporation of thousands of respiratory droplets by massive state-of-the-art numerical simulations of the airflow caused by a typical cough. We find that different initial distributions of droplet size taken from literature and different ambient relative humidity lead to opposite conclusions: (1) most versus none of the viral content settles in the first 1–2 m; (2) viruses are carried entirely on dry nuclei versus on liquid droplets; (3) small droplets travel less than $$2.5\,{\mathrm{m}}$$ 2.5 m versus more than $$7.5\,{\mathrm{m}}$$ 7.5 m . We point to two key issues that need to be addressed urgently in order to provide a scientific foundation to social distancing rules: (I1) a careful characterisation of the initial distribution of droplet sizes; (I2) the infectious potential of viruses carried on dry nuclei versus liquid droplets.https://doi.org/10.1038/s41598-020-80078-7
collection DOAJ
language English
format Article
sources DOAJ
author M. E. Rosti
S. Olivieri
M. Cavaiola
A. Seminara
A. Mazzino
spellingShingle M. E. Rosti
S. Olivieri
M. Cavaiola
A. Seminara
A. Mazzino
Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
Scientific Reports
author_facet M. E. Rosti
S. Olivieri
M. Cavaiola
A. Seminara
A. Mazzino
author_sort M. E. Rosti
title Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
title_short Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
title_full Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
title_fullStr Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
title_full_unstemmed Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
title_sort fluid dynamics of covid-19 airborne infection suggests urgent data for a scientific design of social distancing
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2020-12-01
description Abstract The COVID-19 pandemic is largely caused by airborne transmission, a phenomenon that rapidly gained the attention of the scientific community. Social distancing is of paramount importance to limit the spread of the disease, but to design social distancing rules on a scientific basis the process of dispersal of virus-containing respiratory droplets must be understood. Here, we demonstrate that available knowledge is largely inadequate to make predictions on the reach of infectious droplets emitted during a cough and on their infectious potential. We follow the position and evaporation of thousands of respiratory droplets by massive state-of-the-art numerical simulations of the airflow caused by a typical cough. We find that different initial distributions of droplet size taken from literature and different ambient relative humidity lead to opposite conclusions: (1) most versus none of the viral content settles in the first 1–2 m; (2) viruses are carried entirely on dry nuclei versus on liquid droplets; (3) small droplets travel less than $$2.5\,{\mathrm{m}}$$ 2.5 m versus more than $$7.5\,{\mathrm{m}}$$ 7.5 m . We point to two key issues that need to be addressed urgently in order to provide a scientific foundation to social distancing rules: (I1) a careful characterisation of the initial distribution of droplet sizes; (I2) the infectious potential of viruses carried on dry nuclei versus liquid droplets.
url https://doi.org/10.1038/s41598-020-80078-7
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