Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets

There is ongoing and rapid advancement in approaches to modelling the fate of exhaled particles in different environments relevant to disease transmission. It is important that models are verified by comparison with each other using a common set of input parameters to ensure that model differences c...

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Detalles Bibliográficos
Autores principales: Stettler, Marc E. J., Nishida, Robert T., de Oliveira, Pedro M., Mesquita, Léo C. C., Johnson, Tyler J., Galea, Edwin R., Grandison, Angus, Ewer, John, Carruthers, David, Sykes, David, Kumar, Prashant, Avital, Eldad, Obeysekara, Asiri I. B., Doorly, Denis, Hardalupas, Yannis, Green, David C., Coldrick, Simon, Parker, Simon, Boies, Adam M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Physics and Biophysics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066307/
https://www.ncbi.nlm.nih.gov/pubmed/35592762
http://dx.doi.org/10.1098/rsos.212022
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author Stettler, Marc E. J.
Nishida, Robert T.
de Oliveira, Pedro M.
Mesquita, Léo C. C.
Johnson, Tyler J.
Galea, Edwin R.
Grandison, Angus
Ewer, John
Carruthers, David
Sykes, David
Kumar, Prashant
Avital, Eldad
Obeysekara, Asiri I. B.
Doorly, Denis
Hardalupas, Yannis
Green, David C.
Coldrick, Simon
Parker, Simon
Boies, Adam M.
author_facet Stettler, Marc E. J.
Nishida, Robert T.
de Oliveira, Pedro M.
Mesquita, Léo C. C.
Johnson, Tyler J.
Galea, Edwin R.
Grandison, Angus
Ewer, John
Carruthers, David
Sykes, David
Kumar, Prashant
Avital, Eldad
Obeysekara, Asiri I. B.
Doorly, Denis
Hardalupas, Yannis
Green, David C.
Coldrick, Simon
Parker, Simon
Boies, Adam M.
author_sort Stettler, Marc E. J.
collection PubMed
description There is ongoing and rapid advancement in approaches to modelling the fate of exhaled particles in different environments relevant to disease transmission. It is important that models are verified by comparison with each other using a common set of input parameters to ensure that model differences can be interpreted in terms of model physics rather than unspecified differences in model input parameters. In this paper, we define parameters necessary for such benchmarking of models of airborne particles exhaled by humans and transported in the environment during breathing and speaking.
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spelling pubmed-90663072022-05-18 Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets Stettler, Marc E. J. Nishida, Robert T. de Oliveira, Pedro M. Mesquita, Léo C. C. Johnson, Tyler J. Galea, Edwin R. Grandison, Angus Ewer, John Carruthers, David Sykes, David Kumar, Prashant Avital, Eldad Obeysekara, Asiri I. B. Doorly, Denis Hardalupas, Yannis Green, David C. Coldrick, Simon Parker, Simon Boies, Adam M. R Soc Open Sci Physics and Biophysics There is ongoing and rapid advancement in approaches to modelling the fate of exhaled particles in different environments relevant to disease transmission. It is important that models are verified by comparison with each other using a common set of input parameters to ensure that model differences can be interpreted in terms of model physics rather than unspecified differences in model input parameters. In this paper, we define parameters necessary for such benchmarking of models of airborne particles exhaled by humans and transported in the environment during breathing and speaking. The Royal Society 2022-05-04 /pmc/articles/PMC9066307/ /pubmed/35592762 http://dx.doi.org/10.1098/rsos.212022 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Physics and Biophysics
Stettler, Marc E. J.
Nishida, Robert T.
de Oliveira, Pedro M.
Mesquita, Léo C. C.
Johnson, Tyler J.
Galea, Edwin R.
Grandison, Angus
Ewer, John
Carruthers, David
Sykes, David
Kumar, Prashant
Avital, Eldad
Obeysekara, Asiri I. B.
Doorly, Denis
Hardalupas, Yannis
Green, David C.
Coldrick, Simon
Parker, Simon
Boies, Adam M.
Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets
title Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets
title_full Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets
title_fullStr Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets
title_full_unstemmed Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets
title_short Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets
title_sort source terms for benchmarking models of sars-cov-2 transmission via aerosols and droplets
topic Physics and Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066307/
https://www.ncbi.nlm.nih.gov/pubmed/35592762
http://dx.doi.org/10.1098/rsos.212022
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