Cargando…

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

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 di...

Descripción completa

Detalles Bibliográficos
Autores principales: Rosti, M. E., Olivieri, S., Cavaiola, M., Seminara, A., Mazzino, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773744/
https://www.ncbi.nlm.nih.gov/pubmed/33380739
http://dx.doi.org/10.1038/s41598-020-80078-7
_version_ 1783630111878152192
author Rosti, M. E.
Olivieri, S.
Cavaiola, M.
Seminara, A.
Mazzino, A.
author_facet Rosti, M. E.
Olivieri, S.
Cavaiola, M.
Seminara, A.
Mazzino, A.
author_sort Rosti, M. E.
collection PubMed
description 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 [Formula: see text] versus more than [Formula: see text] . 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.
format Online
Article
Text
id pubmed-7773744
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-77737442021-01-07 Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing Rosti, M. E. Olivieri, S. Cavaiola, M. Seminara, A. Mazzino, A. Sci Rep Article 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 [Formula: see text] versus more than [Formula: see text] . 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. Nature Publishing Group UK 2020-12-30 /pmc/articles/PMC7773744/ /pubmed/33380739 http://dx.doi.org/10.1038/s41598-020-80078-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rosti, M. E.
Olivieri, S.
Cavaiola, M.
Seminara, A.
Mazzino, A.
Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773744/
https://www.ncbi.nlm.nih.gov/pubmed/33380739
http://dx.doi.org/10.1038/s41598-020-80078-7
work_keys_str_mv AT rostime fluiddynamicsofcovid19airborneinfectionsuggestsurgentdataforascientificdesignofsocialdistancing
AT olivieris fluiddynamicsofcovid19airborneinfectionsuggestsurgentdataforascientificdesignofsocialdistancing
AT cavaiolam fluiddynamicsofcovid19airborneinfectionsuggestsurgentdataforascientificdesignofsocialdistancing
AT seminaraa fluiddynamicsofcovid19airborneinfectionsuggestsurgentdataforascientificdesignofsocialdistancing
AT mazzinoa fluiddynamicsofcovid19airborneinfectionsuggestsurgentdataforascientificdesignofsocialdistancing