Near-field exposure of pathogen-laden respiratory particles based on statistical evaluation of one emitting person indoors
17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2324682
ABSTRACT
Risk assessment models typically assume ideal mixing, in which the pathogen-laden aerosol particles emitted by a person are evenly distributed in the room. This study points out the local deviation from this idealized assumption and a correlation between the level of pathogen concentration and the distance from the emitter. For this purpose, several numerical studies (CFD) were analyzed, and a validation experiment was performed. Statistical evaluation of the spatial pathogen distribution was used to determine the potential exposure to elevated pathogen concentrations. Compared to an ideally mixed room, at a distance of 1.5 m, the mixing ventilation cases show a 25% risk of being exposed to twice the amount of pathogens and a 5% risk to more than 5 times the assumed value. For displacement ventilation there is a 75% chance of being exposed to less pathogens than in complete mixing at a distance of 1 m. The measurement values agree with the simulation results. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
airborne transmission; CFD; cross-infection; infection risk assessment; SARS-CoV-2; Air quality; Climate models; Indoor air pollution; Mixing; Pathogens; Risk assessment; Risk perception; Exposed to; Field exposure; Near fields; Respiratory particles; Risk assessment - modelling; Risks assessments; Statistical evaluation; Coronavirus
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
/
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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