학술논문
Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets
Document Type
article
Author
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
Source
Royal Society Open Science, Vol 9, Iss 5 (2022)
Subject
Language
English
ISSN
2054-5703
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.