Modeling and experimental study of dispersion and deposition of respiratory emissions with implications for disease transmission. (21st February 2022)
- Record Type:
- Journal Article
- Title:
- Modeling and experimental study of dispersion and deposition of respiratory emissions with implications for disease transmission. (21st February 2022)
- Main Title:
- Modeling and experimental study of dispersion and deposition of respiratory emissions with implications for disease transmission
- Authors:
- Coldrick, Simon
Kelsey, Adrian
Ivings, Matthew J.
Foat, Timothy G.
Parker, Simon T.
Noakes, Catherine J.
Bennett, Allan
Rickard, Helen
Moore, Ginny - Abstract:
- Abstract: The ability to model the dispersion of pathogens in exhaled breath is important for characterizing transmission of the SARS‐CoV‐2 virus and other respiratory pathogens. A Computational Fluid Dynamics (CFD) model of droplet and aerosol emission during exhalations has been developed and for the first time compared directly with experimental data for the dispersion of respiratory and oral bacteria from ten subjects coughing, speaking, and singing in a small unventilated room. The modeled exhalations consist of a warm, humid, gaseous carrier flow and droplets represented by a discrete Lagrangian particle phase which incorporates saliva composition. The simulations and experiments both showed greater deposition of bacteria within 1 m of the subject, and the potential for a substantial number of bacteria to remain airborne, with no clear difference in airborne concentration of small bioaerosols (<10 μm diameter) between 1 and 2 m. The agreement between the model and the experimental data for bacterial deposition directly in front of the subjects was encouraging given the uncertainties in model input parameters and the inherent variability within and between subjects. The ability to predict airborne microbial dispersion and deposition gives confidence in the ability to model the consequences of an exhalation and hence the airborne transmission of respiratory pathogens such as SARS‐CoV‐2.
- Is Part Of:
- Indoor air. Volume 32:Number 2(2022)
- Journal:
- Indoor air
- Issue:
- Volume 32:Number 2(2022)
- Issue Display:
- Volume 32, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 32
- Issue:
- 2
- Issue Sort Value:
- 2022-0032-0002-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-02-21
- Subjects:
- computational fluid dynamics -- exhalation -- microorganism -- respiratory -- SARS‐CoV‐2
Indoor air pollution -- Periodicals
Sick building syndrome -- Periodicals
Ventilation -- Periodicals
613.5 - Journal URLs:
- http://www.blackwell-synergy.com/loi/ina ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1600-0668 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/ina.13000 ↗
- Languages:
- English
- ISSNs:
- 0905-6947
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4438.046530
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 27128.xml