The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Risk of SARS-CoV-2 transmission by aerosols, the rational use of masks, and protection of healthcare workers from COVID-19
Open accessAbstract
Objectives: To determine the risk of SARS-CoV-2 transmission by aerosols, to provide evidence on the rational use of masks, and to discuss additional measures important for the protection of healthcare workers from COVID-19. Methods: Literature review and expert opinion. Short conclusion: SARS-CoV-2, the pathogen causing COVID-19, is considered to be transmitted via droplets rather than aerosols, but droplets with strong directional airflow support may spread further than 2 m. High rates of COVID-19 infections in healthcare-workers (HCWs) have been reported from several countries. Respirators such as filtering face piece (FFP) 2 masks were designed to protect HCWs, while surgical masks were originally intended to protect patients (e.g., during surgery). Nevertheless, high quality standard surgical masks (type II/IIR according to European Norm EN 14683) appear to be as effective as FFP2 masks in preventing droplet-associated viral infections of HCWs as reported from influenza or SARS. So far, no head-to-head trials with these masks have been published for COVID-19. Neither mask type completely prevents transmission, which may be due to inappropriate handling and alternative transmission pathways. Therefore, compliance with a bundle of infection control measures including thorough hand hygiene is key. During high-risk procedures, both droplets and aerosols may be produced, reason why respirators are indicated for these interventions.
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Cites
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An interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
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
Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31142-9 · Cited by 3,843
Respiratory virus shedding in exhaled breath and efficacy of face masks
Leung, N. H. L., Chu, D. K. W., Shiu, E. Y. C., Chan, K.-H., McDevitt, J. J., Hau, B. J. P., Yen, H.-L., Li, Y., Ip, D. K. M., Peiris, J. S. M., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0843-2 · Cited by 2,270
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Aerodynamic Analysis of SARS-CoV-2 in Two Wuhan Hospitals
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Cited by
SARS-CoV-2: Structure, Biology, and Structure-Based Therapeutics Development
Wang, M.-Y., Zhao, R., Gao, L.-J., Gao, X.-F., Wang, D.-P., & Cao, J.-M. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.587269 · Cited by 874
Metadata
- Authors
- Sommerstein, R., Fux, C. A., Vuichard-Gysin, D., Abbas, M., Marschall, J., Balmelli, C., Troillet, N., Harbarth, S., Schlegel, M., Widmer, A., Swissnoso, Balmelli, C., Eisenring, M.-C., Harbarth, S., Marschall, J., Pittet, D., Sax, H., Schlegel, M., Schweiger, A., Senn, L., Troillet, N., Widmer, A. F., & Zanetti, G.
- Venue
- Antimicrobial Resistance & Infection Control
- Published
- 2020-07-06
- Volume
- 9
- Issue
- 1
- Pages
- 100-100
- ISSN
- 2047-2994 (ISSN-L)
- OpenAlex
- W3039618659
- Cited by
- 259
- References
- 52
- FWCI
- 29.18
- Type
- journal article
- Language
- en
- Open access
- gold
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- Sommerstein, R., Fux, C. A., Vuichard-Gysin, D., Abbas, M., Marschall, J., Balmelli, C., Troillet, N., Harbarth, S., Schlegel, M., Widmer, A., Swissnoso, Balmelli, C., Eisenring, M.-C., Harbarth, S., Marschall, J., Pittet, D., Sax, H., Schlegel, M., Schweiger, A., . . . Zanetti, G. (2020). Risk of SARS-CoV-2 transmission by aerosols, the rational use of masks, and protection of healthcare workers from COVID-19. Antimicrobial Resistance & Infection Control. https://doi.org/10.1186/s13756-020-00763-0
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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.