The role of particle size in aerosolised pathogen transmission: a review
Open accessAbstract
Understanding respiratory pathogen transmission is essential for public health measures aimed at reducing pathogen spread. Particle generation and size are key determinant for pathogen carriage, aerosolisation, and transmission. Production of infectious respiratory particles is dependent on the type and frequency of respiratory activity, type and site of infection and pathogen load. Further, relative humidity, particle aggregation and mucus properties influence expelled particle size and subsequent transmission. Review of 26 studies reporting particle sizes generated from breathing, coughing, sneezing and talking showed healthy individuals generate particles between 0.01 and 500 μm, and individuals with infections produce particles between 0.05 and 500 μm. This indicates that expelled particles carrying pathogens do not exclusively disperse by airborne or droplet transmission but avail of both methods simultaneously and current dichotomous infection control precautions should be updated to include measures to contain both modes of aerosolised transmission.
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The majority of particles and their evaporated nuclei generated through human expiration activities have sizes varying from 0.05 to 500 μm.
“Related investigations have shown that the majority of particles and their evaporated nuclei generated through human expiration activities have sizes varying from 0.05 to 500 μm [12–16].”
From The protective performance of reusable cloth face masks, disposable procedure masks, KN95 masks and N95 respirators: Filtration and total inward leakage (2021) · cites this paper as [16]
In “Particles in the past” (page unavailable), the review reports respiratory particles spanning <1.0–500 μm, and its study table includes a 0.05–5.0 μm range for breathing. These support the broad size range, but the review does not say that the majority of particles and evaporated nuclei fall within the specific combined range of 0.05–500 μm. (LLM, conf=0.86)
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- Authors
- Gralton, J., Tovey, E., McLaws, M.-L., & Rawlinson, W. D.
- Affiliations
- UNSW Sydney (AU)
- The University of Sydney (AU)
- Corresponding author
- Rawlinson, William D.
- Venue
- Journal of Infection
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 62
- Issue
- 1
- Pages
- 1-13
- ISSN
- 0163-4453 (ISSN-L)
- PMC
- PMC7112663
- OpenAlex
- W2061609002
- Cited by
- 665
- References
- 131
- Citations by year
- 2026: 26 · 2025: 41 · 2024: 58 · 2023: 70 · 2022: 68 · 2021: 134 · 2020: 128 · 2019: 23 · 2018: 15 · 2017: 15 · 2016: 20 · 2015: 17 · 2014: 9 · 2013: 19 · 2012: 18
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Infection (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Infection Control and Ventilation
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Inhalation and Respiratory Drug Delivery
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Keywords
- respiratory pathogens, cough, sneezing, breathing, particle aggregation, relative humidity, airborne transmission, droplet transmission, infection control, pathogen load
- MeSH terms
- Aerosols, Humans, Humidity, Mucus, Particle Size, Respiratory Tract Infections, Disease Transmission, Infectious, Particulate Matter
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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