The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Risk of indoor airborne infection transmission estimated from carbon dioxide concentration: Indoor airborne transmission of infectious diseases
Open accessAbstract
The Wells-Riley equation, which is used to model the risk of indoor airborne transmission of infectious diseases such as tuberculosis, is sometimes problematic because it assumes steady-state conditions and requires measurement of outdoor air supply rates, which are frequently difficult to measure and often vary with time. We derive an alternative equation that avoids these problems by determining the fraction of inhaled air that has been exhaled previously by someone in the building (rebreathed fraction) using CO2 concentration as a marker for exhaled-breath exposure. We also derive a non-steady-state version of the Wells-Riley equation which is especially useful in poorly ventilated environments when outdoor air supply rates can be assumed constant. Finally, we derive the relationship between the average number of secondary cases infected by each primary case in a building and exposure to exhaled breath and demonstrate that there is likely to be an achievable critical rebreathed fraction of indoor air below which airborne propagation of common respiratory infections and influenza will not occur.
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Citations
Cites
Aerosol transmission of rhinovirus colds
Dick, E. C., Jennings, L. C., Mink, K. A., Wartgow, C. D., & Inborn, S. L. (1987) · Journal of Infectious Diseases · doi:10.1093/infdis/156.3.442 · Cited by 280 · cited 1×
“To demonstrate the utility of Equation 8, the carbon dioxide-based risk equation, and to generate parameters for describing the relationship of building environment to RA0 we estimate the quantum generation rate of rhinovirus 16 based on experimental data published by Dick et al. (1987).”
Method
Cited by
Airborne transmission of respiratory viruses
Wang, C. C., Prather, K. A., Sznitman, J., Jimenez, J. L., Lakdawala, S. S., Tufekci, Z., & Marr, L. C. (2021) · Science · doi:10.1126/science.abd9149 · Cited by 1,543
Miller, S. L., Nazaroff, W. W., Jimenez, J. L., Boerstra, A., Buonanno, G., Dancer, S. J., Kurnitski, J., Marr, L. C., Morawska, L., & Noakes, C. (2021) · Indoor Air · doi:10.1111/ina.12751 · Cited by 734
Probable airborne transmission of SARS-CoV-2 in a poorly ventilated restaurant
Li, Y., Qian, H., Hang, J., Chen, X., Cheng, P., Ling, H., Wang, S., Liang, P., Li, J., Xiao, S., et al. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.107788 · Cited by 689
Influenza Virus in Human Exhaled Breath: An Observational Study
Fabian, P., McDevitt, J. J., DeHaan, W. H., Fung, R. O. P., Cowling, B. J., Chan, K. H., Leung, G. M., & Milton, D. K. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002691 · Cited by 496
Self-citationBuonanno, G., Morawska, L., & Stabile, L. (2020) · Environment International · doi:10.1016/j.envint.2020.106112 · Cited by 449
“Several dose–response models are available in the scientific literature for assessing the probability of infection of airborne-transmissible pathogens (Rudnick and Milton, 2003; Sze To and Chao, 2010), including deterministic and stochastic models, and threshold and non-threshold models.”
BackgroundMethod
Metadata
- Authors
- Rudnick, S. N., & Milton, D. K.
- Venue
- Indoor Air
- Publisher
- Hindawi Limited
- Published
- 2003-09
- Volume
- 13
- Issue
- 3
- Pages
- 237-245
- ISSN
- 0905-6947 (ISSN-L)
- OpenAlex
- W2021019339
- Cited by
- 624
- References
- 1
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Rudnick, S. N., & Milton, D. K. (2003). Risk of indoor airborne infection transmission estimated from carbon dioxide concentration: Indoor airborne transmission of infectious diseases. Indoor Air. https://doi.org/10.1034/j.1600-0668.2003.00189.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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