抄録
Among the main routes of transmission of infectious diseases, infection by large droplets can be prevented by increasing the distance between people. Transmission by inhalation of aerosols can be prevented by ventilation. Several guidelines suggest the use of CO₂ concentration as an indicator to determine the actual status of ventilation. Herein, a novel system for real-time monitoring of infection risk has been developed. This system displays the infection probability distribution in real-time based on the CO₂ concentration and the positional information of the occupants. A demonstration experiment of this system was conducted in an actual office, and the results were reported, which confirmed that the system can quantitatively predict the probability of infection by integrating ventilation efficiency and social distancing of the occupants. Therefore, by introducing this system, evidence-based infection control measures can be taken according to the actual situation.
