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Airborne transmission of respiratory viruses
Open accessAbstract
Mechanisms of airborne transmission: The COVID-19 pandemic has highlighted controversies and unknowns about how respiratory pathogens spread between hosts. Traditionally, it was thought that respiratory pathogens spread between people through large droplets produced in coughs and through contact with contaminated surfaces (fomites). However, several respiratory pathogens are known to spread through small respiratory aerosols, which can float and travel in air flows, infecting people who inhale them at short and long distances from the infected person. Wang et al . review recent advances in understanding airborne transmission gained from studying the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and other respiratory pathogens. The authors suggest that airborne transmission may be the dominant form of transmission for several respiratory pathogens, including SARS-CoV-2, and that further understanding of the mechanisms underlying infection from the airborne route will better inform mitigation measures. —GKA
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Li, Y., Rahim, Y., & De-ding, Z. (2011) · PubMed · Cited by 19
Mutuku, J. K., Hou, W.-C., & Chen, W. (2020) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2020.03.0107 · Cited by 19
Totura, A. L., Livingston, V., Frick, O. M., Dyer, D., Nichols, D., & Nalca, A. (2020) · Emerging Infectious Diseases · doi:10.3201/eid2612.201664 · Cited by 18
Bixler, S. L., Stefan, C. P., Jay, A. N., Rossi, F., Ricks, K. M., Shoemaker, C. J., Moreau, A. M., Zeng, X., Hooper, J. W., Dyer, D. N., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.27.441510 · Cited by 14
Spatial and Temporal Virus Load Dynamics of SARS-CoV-2: A Single-Center Cohort Study
Alidjinou, E. K., Poissy, J., Ouafi, M., Caplan, M., Benhalima, I., Goutay, J., Tinez, C., Faure, K., Chopin, M., Yelnik, C., et al. (2021) · Diagnostics · doi:10.3390/diagnostics11030427 · Cited by 12
The Experimental Aerosol Transmission of Influenza Virus
Koster, F. T. (2013) · Future Virology · doi:10.2217/fvl.13.83 · Cited by 4
Cited by
Long distance airborne transmission of SARS-CoV-2: rapid systematic review
Duval, D., Palmer, J. C., Tudge, I., Pearce-Smith, N., O’Connell, E., Bennett, A., & Clark, R. (2022) · BMJ · doi:10.1136/bmj-2021-068743 · Cited by 120
Indoor Aerosol Science Aspects of SARS-CoV-2 Transmission
Nazaroff, W. W. (2022) · Indoor Air · doi:10.1111/ina.12970 · Cited by 70
Infectious SARS-CoV-2 Is Emitted in Aerosol Particles
Hawks, S. A., Prussin, A. J., Kuchinsky, S. C., Pan, J., Marr, L. C., & Duggal, N. K. (2021) · mBio · doi:10.1128/mbio.02527-21 · Cited by 57
Self-citation
Metadata
- Authors
- Wang, C. C., Prather, K. A., Sznitman, J., Jimenez, J. L., Lakdawala, S. S., Tufekci, Z., & Marr, L. C.
- Venue
- Science
- Published
- 2021-08-27
- Volume
- 373
- Issue
- 6558
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3194080835
- Cited by
- 1,543
- References
- 199
- FWCI
- 146.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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 ›
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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.