In the study, which appeared on the pre-print server medRxiv, the team developed a general mathematical theory to predict airborne transmission risk from carbon dioxide (CO2) time series in real-time and clarify different estimates that steer the guideline. The study findings were based on the assessment of transmission risk and implementing the guideline by CO2 monitoring in university classrooms and office spaces.