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

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 c...

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Detalles Bibliográficos
Autores principales: Stettler, Marc E. J., Nishida, Robert T., de Oliveira, Pedro M., Mesquita, Léo C. C., Johnson, Tyler J., Galea, Edwin R., Grandison, Angus, Ewer, John, Carruthers, David, Sykes, David, Kumar, Prashant, Avital, Eldad, Obeysekara, Asiri I. B., Doorly, Denis, Hardalupas, Yannis, Green, David C., Coldrick, Simon, Parker, Simon, Boies, Adam M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Physics and Biophysics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066307/
https://www.ncbi.nlm.nih.gov/pubmed/35592762
http://dx.doi.org/10.1098/rsos.212022
Descripción
Sumario: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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