Modelling Airborne Transmission and Ventilation Impacts of a COVID-19 Outbreak in a Restaurant in Guangzhou, China

Ho, CK

HERO ID

7491400

Reference Type

Journal Article

Year

2021

HERO ID 7491400
In Press No
Year 2021
Title Modelling Airborne Transmission and Ventilation Impacts of a COVID-19 Outbreak in a Restaurant in Guangzhou, China
Authors Ho, CK
Journal International Journal of Computational Fluid Dynamics
Page Numbers 1-19
Abstract Computational fluid dynamics (CFD) modelling was performed to simulate spatial and temporal airborne pathogen concentrations during an observed COVID-19 outbreak in a restaurant in Guangzhou, China. The reported seating configuration, overlap durations, room ventilation, layout, and dimensions were modelled in the CFD simulations to determine relative exposures and probabilities of infection. Results showed that the trends in the simulated probabilities of infection were consistent with the observed rates of infection at each of the tables surrounding the index patient. Alternative configurations that investigated different boundary conditions and ventilation conditions were also simulated. Increasing the fresh-air percentage to 10%, 50%, and 100% of the supply air reduced the accumulated pathogen mass in the room by an average of similar to 30%, similar to 70%, and similar to 80%, respectively, over 73 min. The probability of infection was reduced by similar to 10%, 40%, and 50%, respectively.
Doi 10.1080/10618562.2021.1910678
Wosid WOS:000637616500001
Url https://www.tandfonline.com/doi/full/10.1080/10618562.2021.1910678
Is Certified Translation No
Dupe Override No
Is Public Yes
Keyword CFD; Guangzhou restaurant; COVID-19; SARS-CoV-2; ventilation; airborne transmission