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Cited by 172

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Breathing Is Enough: For the Spread of Influenza Virus and SARS-CoV-2 by Breathing Only

Open access
Scheuch, Gerhard·2020·Journal of Aerosol Medicine and Pulmonary Drug Delivery

Abstract

Background: The transmission of respiratory viruses such as influenza and corona viruses from one person to another is still not fully understood. Methods: A literature search showed that there is a strong scientific rationale and evidence that viruses are very efficiently spread through aerosols by the patient's breathing only. It is not necessary for the patient to cough or sneeze. Results: The exhaled aerosol particles are generated by normal breathing in the deep lung through reopening of collapsed small airways during inspiration. These mucus/surfactant aerosols (size range between 0.2 and 0.6 μm) can transport viruses out of the lungs of patients and be present in the room air for hours. Conclusion: These aerosol particles are difficult to filter out of the air; because of their physical properties, new strategies must be developed to protect people from these virus aerosols.

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Metadata

Authors
Scheuch, G.
Venue
Journal of Aerosol Medicine and Pulmonary Drug Delivery
Published
2020-08-01
Volume
33
Issue
4
Pages
230-234
ISSN
  • 1941-2703 (ISSN-L)
  • 1941-2711
OpenAlex
W3036136013
Cited by
172
References
8
FWCI
16.99
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Breathing Is Enough: For the Spread of Influenza Virus and SARS-CoV-2 by Breathing Only. https://app.cochat.ai/papers/10.1089/jamp.2020.1616
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Scheuch, G. (2020). Breathing Is Enough: For the Spread of Influenza Virus and SARS-CoV-2 by Breathing Only. Journal of Aerosol Medicine and Pulmonary Drug Delivery. https://doi.org/10.1089/jamp.2020.1616

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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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.