Stettler, Marc E. J., Nishida, Robert T., de Oliveira, Pedro M., Mesquita, Léo C. C., Johnson, Tyler J., Galea, Edwin ORCID: 0000-0002-0001-6665, Grandison, Angus, Ewer, John ORCID: 0000-0003-0609-272X, Carruthers-Jones, David, Sykes, David, Kumar, Prashant, Avital, Eldad, Obeysekara, Asiri I. B., Doorly, Denis, Hardalupas, Yannis, Green, David C., Coldrick, Simon, Parker, Simon and Boies, Adam M. (2022) Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets. Royal Society Open Science, 9 (5):212022. ISSN 2054-5703 (Online) (doi:https://doi.org/10.1098/rsos.212022)

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	SARS-CoV-2; transmission; environmental conditions
Subjects:	Q Science > Q Science (General) Q Science > QR Microbiology > QR355 Virology
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Fire Safety Engineering Group (FSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	11 May 2022 08:48
URI:	http://gala.gre.ac.uk/id/eprint/35902

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