A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors
(2022)
Preprint / Working Paper
Iddon, C., Jones, B., Sharpe, P., Cevik, M., & Fitzgerald, S. A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors
The number of occupants in a space influences the risk of far-field airborne transmission of SARS-CoV-2 because the likelihood of having infectious and susceptible people both correlate with the number of occupants. This paper explores the relationsh... Read More about A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors.