Evidence map›Paper›PMID 35241703›Full record

ArticleScientific reports2022

Viral load of SARS-CoV-2 in droplets and bioaerosols directly captured during breathing, speaking and coughing.

Tyler J Johnson, Robert T Nishida, Ashlesha P Sonpar, Yi-Chan James Lin, Kimberley A Watson, Stephanie W Smith, John M Conly, David H Evans, Jason S Olfert

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  6. Review
  7. Detection of SARS-CoV-2 RNA on air purifier filters in university spaces without symptomatic or confirmed cases.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2025
    Article
  8. Article
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  11. Real-world evaluation of a QCM-based biosensor for exhaled air.Analytical and bioanalytical chemistry · 2024
    Article
  12. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Tyler J JohnsonDepartment of Engineering, University of Cambridge, Cambridge, UK.
Robert T NishidaDepartment of Mechanical Engineering, University of Alberta, Edmonton, Canada. rnishida@ualberta.ca.
Ashlesha P SonparDepartment of Medicine, Division of Infectious Diseases, University of Alberta, Edmonton, Canada.
Yi-Chan James LinDepartment of Medical Microbiology and Immunology and Li Ka Shing Institute of Virology, University of Alberta, Edmonton, Canada.
Kimberley A WatsonAlberta Health Services, Alberta, Canada.
Stephanie W SmithDepartment of Medicine, Division of Infectious Diseases, University of Alberta, Edmonton, Canada.
John M ConlyAlberta Health Services, Alberta, Canada.
David H EvansDepartment of Medical Microbiology and Immunology and Li Ka Shing Institute of Virology, University of Alberta, Edmonton, Canada.
Jason S OlfertDepartment of Mechanical Engineering, University of Alberta, Edmonton, Canada. jolfert@ualberta.ca.
University of Alberta · CAAlberta Health · CAAlberta Health Services · CAUniversity of Cambridge · GB

Funding

Natural Sciences and Engineering Research Council of Canada Postdoctoral Fellowships ProgramWorld Health Organization Research grant for the Infection Prevention and Control (IPC) Pillar.
6 · The paper itself

Abstract

Determining the viral load and infectivity of SARS-CoV-2 in macroscopic respiratory droplets, bioaerosols, and other bodily fluids and secretions is important for identifying transmission modes, assessing risks and informing public health guidelines. Here we show that viral load of SARS-CoV-2 Ribonucleic Acid (RNA) in participants' naso-pharyngeal (NP) swabs positively correlated with RNA viral load they emitted in both droplets >10 [Formula: see text] and bioaerosols <10 [Formula: see text] directly captured during the combined expiratory activities of breathing, speaking and coughing using a standardized protocol, although the NP swabs had [Formula: see text] 10[Formula: see text] more RNA on average. By identifying highly-infectious individuals (maximum of 18,000 PFU/mL in NP), we retrieved higher numbers of SARS-CoV-2 RNA gene copies in bioaerosol samples (maximum of 4.8[Formula: see text] gene copies/mL and minimum cycle threshold of 26.2) relative to other studies. However, all attempts to identify infectious virus in size-segregated droplets and bioaerosols were negative by plaque assay (0 of 58). This outcome is partly attributed to the insufficient amount of viral material in each sample (as indicated by SARS-CoV-2 gene copies) or may indicate no infectious virus was present in such samples, although other possible factors are identified.

Indexed as

AerosolsCoughRespirationSpeechViral LoadHumansSARS-CoV-2Aerosols

Identifiers

PMID35241703
PMCPMC8894466
OpenAlexW4214848841

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.