The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Risk assessment of airborne transmission of COVID-19 by asymptomatic individuals under different practical settings
Open accessAbstract
The lack of quantitative risk assessment of airborne transmission of COVID-19 under practical settings leads to large uncertainties and inconsistencies in our preventive measures. Combining in situ measurements and computational fluid dynamics simulations, we quantify the exhaled particles from normal respiratory behaviors and their transport under elevator, small classroom, and supermarket settings to evaluate the risk of inhaling potentially virus-containing particles. Our results show that the design of ventilation is critical for reducing the risk of particle encounters. Inappropriate design can significantly limit the efficiency of particle removal, create local hot spots with orders of magnitude higher risks, and enhance particle deposition causing surface contamination. Additionally, our measurements reveal the presence of a substantial fraction of faceted particles from normal breathing and its strong correlation with breathing depth.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1
van Doremalen, N., Bushmaker, T., Morris, D. H., Holbrook, M. G., Gamble, A., Williamson, B. N., Tamin, A., Harcourt, J. L., Thornburg, N. J., Gerber, S. I., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2004973 · Cited by 9,951
Ong, S. W. X., Tan, Y. K., Chia, P. Y., Lee, T. H., Ng, O. T., Wong, M. S. Y., & Marimuthu, K. (2020) · JAMA · doi:10.1001/jama.2020.3227 · Cited by 2,140
Aerodynamic Analysis of SARS-CoV-2 in Two Wuhan Hospitals
Liu, Y., Ning, Z., Chen, Y., Guo, M., Liu, Y., Gali, N. K., Sun, L., Duan, Y., Cai, J., Westerdahl, D., et al. (2020) · Nature · doi:10.1038/s41586-020-2271-3 · Cited by 1,872
Aerosol Emission and Superemission during Human Speech Increase with Voice Loudness
Asadi, S., Wexler, A. S., Cappa, C. D., Barreda, S., Bouvier, N. M., & Ristenpart, W. D. (2019) · Scientific Reports · doi:10.1038/s41598-019-38808-z · Cited by 919
Reducing transmission of SARS-CoV-2
Prather, K. A., Wang, C. C., & Schooley, R. T. (2020) · Science · doi:10.1126/science.abc6197 · Cited by 850
The size distribution of droplets in the exhaled breath of healthy human subjects
PAPINENI, R. S., & ROSENTHAL, F. S. (1997) · Journal of Aerosol Medicine · doi:10.1089/jam.1997.10.105 · Cited by 690
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
Inhaling to mitigate exhaled bioaerosols
Edwards, D. A., Man, J. C., Brand, P., Katstra, J. P., Sommerer, K., Stone, H. A., Nardell, E., & Scheuch, G. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408159101 · Cited by 362
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
Metadata
- Authors
- Shao, S., Zhou, D., He, R., Li, J., Zou, S., Mallery, K., Kumar, S., Yang, S., & Hong, J.
- Venue
- Journal of Aerosol Science
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 151
- Pages
- 105661
- ISSN
- 0021-8502 (ISSN-L)
- OpenAlex
- W3087516432
- Cited by
- 214
- References
- 8
- FWCI
- 21.06
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Risk assessment of airborne transmission of COVID-19 by asymptomatic individuals under different practical settings. https://app.cochat.ai/papers/10.1016/j.jaerosci.2020.105661
- The paper
- Shao, S., Zhou, D., He, R., Li, J., Zou, S., Mallery, K., Kumar, S., Yang, S., & Hong, J. (2021). Risk assessment of airborne transmission of COVID-19 by asymptomatic individuals under different practical settings. Journal of Aerosol Science. https://doi.org/10.1016/j.jaerosci.2020.105661
Data sources
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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
