EVALUATING VIRUS INFECTION RISK BY INDOOR VENTILATION BASED ON COMPUTATIONAL FLUID DYNAMICS WITH CONCENTRATION MODEL

While reported COVID-19 outbreaks decline worldwide, the threat of the airborne virus and indoor transmission lingers, particularly where public mask mandates have ceased. This study presents a risk assessment methodology using the ‘quanta’ concentration model and computational fluid dynamics (CFD) calculations. The research centers on the influence of ventilation strategies on mitigating virus transmission indoors. Results show that ventilation systems and habits such as opening windows and doors can significantly decrease aerosol concentrations, thus reducing infection risks. The application of the ‘quanta’ concentration model in conjunction with enhanced ventilation strategies provides a clear depiction of transmission risk among primary patients and other individuals. Hence, the importance of effective ventilation in managing the spread of airborne viruses indoors is underscored.