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

Autor: Marc E. J. Stettler, Robert T. Nishida, Pedro M. de Oliveira, Léo C. C. Mesquita, Tyler J. Johnson, Edwin R. Galea, Angus Grandison, John Ewer, David Carruthers, David Sykes, Prashant Kumar, Eldad Avital, Asiri I. B. Obeysekara, Denis Doorly, Yannis Hardalupas, David C. Green, Simon Coldrick, Simon Parker, Adam M. Boies
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Royal Society Open Science, Vol 9, Iss 5 (2022)
Druh dokumentu: article
ISSN: 2054-5703
DOI: 10.1098/rsos.212022
Popis: 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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