A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors. (1st August 2022)
- Record Type:
- Journal Article
- Title:
- A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors. (1st August 2022)
- Main Title:
- A population framework for predicting the proportion of people infected by the far-field airborne transmission of SARS-CoV-2 indoors
- Authors:
- Iddon, Christopher
Jones, Benjamin
Sharpe, Patrick
Cevik, Muge
Fitzgerald, Shaun - Abstract:
- Abstract: The number of occupants in a space influences the risk of far-field airborne transmission of SARS-CoV-2 because the likelihood of having infectious and susceptible people both correlate with the number of occupants. This paper explores the relationship between occupancy and the probability of infection, and how this affects an individual person and a population of people. Mass-balance and dose–response models determine far-field transmission risks for an individual person and a population of people after sub-dividing a large reference space into 10 identical comparator spaces. For a single infected person, the dose received by an individual person in the comparator space is 10 times higher because the equivalent ventilation rate per infected person is lower when the per capita ventilation rate is preserved. However, accounting for population dispersion, such as the community prevalence of the virus, the probability of an infected person being present and uncertainty in their viral load, shows the transmission probability increases with occupancy and the reference space has a higher transmission risk. Also, far-field transmission is likely to be a rare event that requires a high emission rate, and there are a set of Goldilocks conditions that are just right when equivalent ventilation is effective at mitigating against transmission. These conditions depend on the viral load, because when they are very high or low, equivalent ventilation has little effect onAbstract: The number of occupants in a space influences the risk of far-field airborne transmission of SARS-CoV-2 because the likelihood of having infectious and susceptible people both correlate with the number of occupants. This paper explores the relationship between occupancy and the probability of infection, and how this affects an individual person and a population of people. Mass-balance and dose–response models determine far-field transmission risks for an individual person and a population of people after sub-dividing a large reference space into 10 identical comparator spaces. For a single infected person, the dose received by an individual person in the comparator space is 10 times higher because the equivalent ventilation rate per infected person is lower when the per capita ventilation rate is preserved. However, accounting for population dispersion, such as the community prevalence of the virus, the probability of an infected person being present and uncertainty in their viral load, shows the transmission probability increases with occupancy and the reference space has a higher transmission risk. Also, far-field transmission is likely to be a rare event that requires a high emission rate, and there are a set of Goldilocks conditions that are just right when equivalent ventilation is effective at mitigating against transmission. These conditions depend on the viral load, because when they are very high or low, equivalent ventilation has little effect on transmission risk. Nevertheless, resilient buildings should deliver the equivalent ventilation rate required by standards as minimum. Highlights: Accounts for population dispersion when considering the risks of far-field exposure to a virus. Far-field transmission is likely to be a rare event that requires a high emission rate. Ventilation cannot is not an effective mitigation method when viral load is very high or low. Larger spaces can pose a greater transmission risk than smaller spaces for a population of people. … (more)
- Is Part Of:
- Building and environment. Volume 221(2022)
- Journal:
- Building and environment
- Issue:
- Volume 221(2022)
- Issue Display:
- Volume 221, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 221
- Issue:
- 2022
- Issue Sort Value:
- 2022-0221-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08-01
- Subjects:
- Relative exposure index -- Ventilation -- Aerosols -- Transmission risk -- Viral load -- COVID-19
Buildings -- Environmental engineering -- Periodicals
Building -- Research -- Periodicals
Constructions -- Technique de l'environnement -- Périodiques
Electronic journals
696 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03601323 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.buildenv.2022.109309 ↗
- Languages:
- English
- ISSNs:
- 0360-1323
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2359.355000
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