Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets
Author(s)
Type
Journal Article
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.
Date Issued
2022-05-01
Date Acceptance
2022-04-13
Citation
Royal Society Open Science, 2022, 9 (5)
ISSN
2054-5703
Publisher
The Royal Society
Journal / Book Title
Royal Society Open Science
Volume
9
Issue
5
Copyright Statement
© 2022 The Authors.
Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/35592762
PII: rsos212022
Subjects
disease transmission
exhaled aerosols
model benchmarking
SARS-CoV-2
source terms
Publication Status
Published
Coverage Spatial
England
Article Number
ARTN 212022
Date Publish Online
2022-05-04