Litcius/Paper detail

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

Marc Stettler, Robert T. Nishida, Pedro M. de Oliveira, Léo C. C. Mesquita, Tyler J. Johnson, Edwin R. Galea, Angus Grandison, J. Ewer, David Carruthers, D. Sykes, Prashant Kumar, Eldad Avital, Asiri Obeysekara, Denis Doorly, Yannis Hardalupas, David C. Green, Simon Coldrick, Simon T. Parker, Adam Boies

2022Royal Society Open Science15 citationsDOIOpen Access PDF

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.

Topics & Concepts

BenchmarkingTransmission (telecommunications)Airborne transmissionSet (abstract data type)Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computer scienceDisease transmissionEnvironmental scienceBiologyMedicineVirologyDiseaseInfectious disease (medical specialty)TelecommunicationsBusinessMarketingPathologyProgramming languageInfection Control and VentilationInhalation and Respiratory Drug DeliveryCOVID-19 epidemiological studies