COVID-19 airborne transmission risk calculation using CO2 concentrations in a 3D office environment
17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2323952
ABSTRACT
The ongoing COVID-19 pandemic has caused millions of deaths worldwide along with detrimental socioeconomic consequences. Existing evidence suggests that the rate of indoor transmission is directly linked with the Indoor Air Quality (IAQ) conditions. Most of the existing methodologies for virus transmissibility risk estimation are based on the well-known Wells-Riley equation and assume well-mixed, uniform conditions;so spatiotemporal variations within the indoor space are not captured. In this work, a novel fine-grained methodology for real-time virus transmission risk estimation is developed using a 3D model of a real office room with 31 occupants. CONTAM-CFD0 software is used to compute the airflow vectors and the resulting 3D CO2 concentration map (attributed to the exhalations from the occupants). Simulation results are also provided that demonstrate the efficacy of using CO2 sensors for estimating the infection risk in real-time in the 3D office environment. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
3D office environment; airborne transmission; CO2 concentration; COVID-19 infection risk; Wells-Riley equation; 3D modeling; Air quality; Carbon dioxide; Indoor air pollution; Risk perception; Transmissions; Viruses; Condition; Office environments; Real- time; Risk calculation; Risk estimation; Well-riley equation; COVID-19
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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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