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

R Soc Open Sci. 2022 May 4;9(5):212022. doi: 10.1098/rsos.212022. eCollection 2022 May.

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: SARS-CoV-2; disease transmission; exhaled aerosols; model benchmarking; source terms.

Publication types

  • Review

Associated data

  • figshare/10.6084/m9.figshare.c.5958950