Size distribution of exhaled aerosol particles containing SARS-CoV-2 RNA
Open accessAbstract
BACKGROUND: SARS-CoV-2 in exhaled aerosols is considered an important contributor to the spread of COVID-19. However, characterizing the size distribution of virus-containing aerosol particles has been challenging as high concentrations of SARS-CoV-2 in exhaled air is mainly present close to symptom onset. We present a case study of a person with COVID-19 who was able to participate in extensive measurements of exhaled aerosols already on the day of symptom onset and then for the following three days. METHODS: Aerosol collection was performed using an eight-stage impactor while the subject was breathing, talking and singing, for 30 min each, once every day. In addition, nasopharyngeal samples, saliva samples, room air samples and information on symptom manifestations were collected every day. Samples were analyzed by RT-qPCR for detection of SARS-CoV-2 RNA. RESULTS: SARS-CoV-2 RNA was detected in seven of the eight particle size fractions, from 0.34 to >8.1 µm, with the highest concentrations found in 0.94-2.8 µm particles. The concentration of SARS-CoV-2 RNA was highest on the day of symptom onset, and declined for each day thereafter. CONCLUSION: Our data showed that 90% of the exhaled SARS-CoV-2 RNA was found in aerosol particles <4.5 µm, indicating the importance of small particles for the transmission of COVID-19 close to symptom onset. These results are important for our understanding of airborne transmission, for developing accurate models and for selecting appropriate mitigation strategies.
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Recent breathing, speaking, and singing measurements near a single COVID-infected individual revealed SARS-CoV-2 RNA in particles 0.3 μm to >8 μm.
“Recent breathing, speaking, and singing measurements near a single COVID-infected individual revealed SARS-CoV-2 RNA in slightly smaller particles (0.3 μm to >8 μm) [52]”
From Comparative Mask Protection against Inhaling Wildfire Smoke, Allergenic Bioaerosols, and Infectious Particles (2022) · cites this paper as [52]
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- Authors
- Alsved, M., Nygren, D., Thuresson, S., Fraenkel, C.-J., Medstrand, P., & Löndahl, J.
- Affiliations
- Lund University (SE)
- Corresponding author
- Alsved, Malin
- Venue
- Infectious Diseases
- Publisher
- Informa UK Limited
- Published
- 2022-11-04
- Volume
- 55
- Issue
- 2
- Pages
- 158-163
- ISSN
- 0036-5548 (ISSN-L)
- 2374-4235
- 2374-4243
- OpenAlex
- W4308189368
- Cited by
- 57
- References
- 20
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 21 · 2023: 8 · 2022: 2
- FWCI
- 7.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Scandinavian Journal of Infectious Diseases (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- AFA insurance (180113, 200109)
- Swedish Research Council FORMAS (2017-00383, 2020-01490)
- Swedish Research Council FORTE (2017-00690)
- Region Skåne
- Swedish Research Council (2019-05235, 2020-02344)
- SciLifeLab National COVID-19 Research Program
- Knut and Alice Wallenberg Foundation
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Infection Control and Ventilation
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Health Sciences › Dentistry › General Dentistry › Dental Research and COVID-19
- Keywords
- SARS-CoV-2, COVID-19 pandemic, exhaled aerosols, aerosol size distribution, airborne transmission, viral RNA, symptom onset, respiratory droplets
- MeSH terms
- COVID-19, SARS-CoV-2, Respiratory Aerosols and Droplets, Humans, RNA, Viral
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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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