Evidence map›Paper›PMID 33972590›Full record

ArticleScientific reports2021

Peering inside a cough or sneeze to explain enhanced airborne transmission under dry weather.

Kai Liu, Majid Allahyari, Jorge S Salinas, Nadim Zgheib, S Balachandar

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Analysis of SARS-CoV-2 Transmission by Airborne Droplets in a Restaurant Outbreak: A CFD Approach.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
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  3. Article
  4. Review
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Dispersion of free-falling saliva droplets by two-dimensional vortical flows.Theoretical and computational fluid dynamics · 2022
    Article
  12. Article
  13. Article
  14. 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

5 authors.

Kai LiuDepartment of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, USA.
Majid AllahyariDepartment of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, USA.
Jorge S SalinasDepartment of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, USA. josalinas@ufl.edu.
Nadim ZgheibDepartment of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, USA.
S BalachandarDepartment of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, USA. bala1s@ufl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-fidelity simulations of coughs and sneezes that serve as virtual experiments are presented, and they offer an unprecedented opportunity to peer into the chaotic evolution of the resulting airborne droplet clouds. While larger droplets quickly fall-out of the cloud, smaller droplets evaporate rapidly. The non-volatiles remain airborne as droplet nuclei for a long time to be transported over long distances. The substantial variation observed between the different realizations has important social distancing implications, since probabilistic outlier-events do occur and may need to be taken into account when assessing the risk of contagion. Contrary to common expectations, we observe dry ambient conditions to increase by more than four times the number of airborne potentially virus-laden nuclei, as a result of reduced droplet fall-out through rapid evaporation. The simulation results are used to validate and calibrate a comprehensive multiphase theory, which is then used to predict the spread of airborne nuclei under a wide variety of ambient conditions.

Indexed as

Models, BiologicalSneezingAir MicrobiologyComputer SimulationCoughCOVID-19HumansHumiditySARS-CoV-2

Identifiers

PMID33972590
PMCPMC8110525

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.