Predictive and retrospective modelling of airborne infection risk using monitored carbon dioxide
Predictive and retrospective modelling of airborne infection risk using monitored carbon dioxide
The risk of long range, herein ‘airborne', infection needs to be better understood and is especially urgent during the COVID-19 pandemic. We present a method to determine the relative risk of airborne transmission that can be readily deployed with either modelled or monitored CO 2 data and occupancy levels within …