Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets.
Authors
Obeysekara, Asiri IB
Coldrick, Simon
Parker, Simon
Publication Date
2022-05Journal Title
R Soc Open Sci
ISSN
2054-5703
Publisher
The Royal Society
Volume
9
Issue
5
Language
en
Type
Article
This Version
AO
VoR
Metadata
Show full item recordCitation
Stettler, M. E., Nishida, R. T., de Oliveira, P. M., Mesquita, L. C., Johnson, T. J., Galea, E. R., Grandison, A., et al. (2022). Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets.. R Soc Open Sci, 9 (5) https://doi.org/10.1098/rsos.212022
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.
Keywords
Physics and biophysics, Review articles, source terms, SARS-CoV-2, model benchmarking, exhaled aerosols, disease transmission
Identifiers
rsos212022
External DOI: https://doi.org/10.1098/rsos.212022
This record's URL: https://www.repository.cam.ac.uk/handle/1810/336846
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
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