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Predicting the infection probability distribution due to airborne and droplet transmission
17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2327188
ABSTRACT
In this study, a method was proposed to predict the infection probability distribution rather than the room-averaged value. The infection probability by airborne transmission was predicted based on the CO2 concentration. The infection probability by droplet transmission was predicted based on occupant position information. Applying the proposed method to an actual office confirmed that it could be used for quantitatively predicting the infection probability by integrating the ventilation efficiency and distance between occupants. The infection probability by airborne transmission was relatively high in a zone where the amount of outdoor air supply was relatively small. The infection probability by droplet transmission varied with the position of the occupants. The ability of the proposed method to analyze the relative effectiveness of countermeasures for airborne transmission and droplet transmission was verified in this study. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
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Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022 Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022 Year: 2022 Document Type: Article