SARS-CoV-2 risk assessment for a 30-minute car journey
17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2323383
ABSTRACT
In this paper a numerical methodology for close proximity exposure (<2m) is applied to the analysis of aerosol airborne dispersion and SARS-CoV-2 potential infection risk during short journeys in passenger cars. It consists of a three-dimensional transient Eulerian-Lagrangian numerical model coupled with a recently proposed SARS-CoV-2 emission approach, using the open-source software OpenFOAM. The numerical tool, validated by Particle Image Velocimetry (PIV), is applied to the simulation of aerosol droplets emitted by a contagious subject in a car cabin during a 30-minute journey and to the integrated risk assessment for SARS-CoV-2 for the other passengers. The effects of different geometrical and thermo-fluid-dynamic influence parameters are investigated, showing that both the position of the infected subject and the ventilation system design affect the amount of virus inhaled and the highest-risk position inside the passenger compartment. Calculated infection risk, for susceptible passengers in the car, can reach values up to 59%. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
CFD analysis; indoor micro-environments; respiratory particles; virus transmission; Aerosols; Air quality; Computational fluid dynamics; Indoor air pollution; Open source software; Open systems; Risk assessment; Velocity measurement; Ventilation; Close proximity; Eulerian-lagrangian; Indoor micro-environment; Microenvironments; Numerical methodologies; Open-source softwares; Risks assessments; Coronavirus
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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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