Evidence map›Paper›PMID 33977157›Full record

ArticleHealth science reports2021

Droplets and aerosols: An artificial dichotomy in respiratory virus transmission.

Yannis Drossinos, Thomas P Weber, Nikolaos I Stilianakis

Abstract read
In one paragraph

Article in Health science reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. On modelling airborne infection risk.Royal Society open science · 2024
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Estimates of the stochasticity of droplet dispersion by a cough.Physics of fluids (Woodbury, N.Y. : 1994) · 2021
    Article
  19. Evaluation of Residual Infectivity after SARS-CoV-2 Aerosol Transmission in a Controlled Laboratory Setting.International journal of environmental research and public health · 2021
    Article
  20. Article
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

3 authors.

Yannis DrossinosJoint Research Centre European Commission, Joint Research Centre (JRC) Ispra Italy.ORCID https://orcid.org/0000-0002-8059-9636
Thomas P WeberJoint Research Centre European Commission, Directorate General for Health and Food Safety Brussels Belgium.ORCID https://orcid.org/0000-0002-4723-4950
Nikolaos I StilianakisJoint Research Centre European Commission, Joint Research Centre (JRC) Ispra Italy.ORCID https://orcid.org/0000-0002-3808-265X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the medical literature, three mutually non-exclusive modes of pathogen transmission associated with respiratory droplets are usually identified: contact, droplet, and airborne (or aerosol) transmission. The demarcation between droplet and airborne transmission is often based on a cut-off droplet diameter, most commonly 5 μm. We argue here that the infectivity of a droplet, and consequently the transmissivity of the virus, as a function of droplet size is a continuum, depending on numerous factors (gravitational settling rate, transport, and dispersion in a turbulent air jet, viral load and viral shedding, virus inactivation) that cannot be adequately characterized by a single droplet diameter. We propose instead that droplet and aerosol transmission should be replaced by a unique airborne transmission mode, to be distinguished from contact transmission.

Indexed as

aerosolsairbornedropletsinfluenzarespiratory pathogensSARS‐CoV‐2transmission mode

Identifiers

PMID33977157
PMCPMC8103093

What OpenQuestion holds

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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.