Evidence map›Paper›PMID 33633316›Full record

ArticleScientific reports2021

Airborne dispersion of droplets during coughing: a physical model of viral transmission.

Hongying Li, Fong Yew Leong, George Xu, Chang Wei Kang, Keng Hui Lim, Ban Hock Tan, Chian Min Loo

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

7 authors.

Hongying LiA*STAR Institute of High Performance Computing, 1 Fusionopolis Way, Connexis, 138632, Singapore.
Fong Yew LeongA*STAR Institute of High Performance Computing, 1 Fusionopolis Way, Connexis, 138632, Singapore. leongfy@ihpc.a-star.edu.sg.ORCID http://orcid.org/0000-0002-0064-0118
George XuA*STAR Institute of High Performance Computing, 1 Fusionopolis Way, Connexis, 138632, Singapore.ORCID http://orcid.org/0000-0003-3237-9599
Chang Wei KangA*STAR Institute of High Performance Computing, 1 Fusionopolis Way, Connexis, 138632, Singapore.
Keng Hui LimA*STAR Institute of High Performance Computing, 1 Fusionopolis Way, Connexis, 138632, Singapore.
Ban Hock TanDepartment of Infectious Diseases, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.ORCID http://orcid.org/0000-0002-1458-9456
Chian Min LooDepartment of Respiratory and Critical Care Medicine, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 pandemic has focused attention on airborne transmission of viruses. Using realistic air flow simulation, we model droplet dispersion from coughing and study the transmission risk related to SARS-CoV-2. Although this model defines most airborne droplets as 8-16 µm in diameter, we infer that larger droplets of 32-40 µm in diameter may potentially be more infectious due to higher viral content. Use of face masks is therefore recommended for both personal and social protection. We found social distancing effective at reducing transmission potential across all droplet sizes. However, the presence of a human body 1 m away modifies the aerodynamics so that downstream droplet dispersion is enhanced, which has implications on safe distancing in queues. At 1 m distance, we found that an average of 0.55 viral copies is inhaled for a cough at median loading, scalable up to 340 copies at peak loading. Droplet evaporation results in significant reduction in droplet counts, but airborne transmission remains possible even under low humidity conditions.

Indexed as

Air MicrobiologyCoughCOVID-19HumansHydrodynamicsMasksModels, BiologicalParticle SizeRisk AssessmentSARS-CoV-2

Identifiers

PMID33633316
PMCPMC7907382

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.