Evidence map›Paper›PMID 34334806›Full record

ArticleJournal of aerosol science2022

Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy.

Hadrien Calmet, Pablo Ferrer Bertomeu, Charlotte McIntyre, Catherine Rennie, Kevin Gouder, Guillaume Houzeaux, Christian Fletcher, Robert Still, Denis Doorly

Open access · greenAbstract read
In one paragraph

Article in Journal of aerosol science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 2 countries.

Hadrien CalmetBarcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, Edificio NEXUS I, Gran Capitán 2-4, 08034 Barcelona, Spain.
Pablo Ferrer BertomeuImperial College London, Department of Aeronautics, Exhibition Road, London SW7 2AZ, UK.
Charlotte McIntyreImperial College London, Department of Aeronautics, Exhibition Road, London SW7 2AZ, UK.
Catherine RennieImperial College London, Department of Aeronautics, Exhibition Road, London SW7 2AZ, UK.
Kevin GouderImperial College London, Department of Aeronautics, Exhibition Road, London SW7 2AZ, UK.
Guillaume HouzeauxBarcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, Edificio NEXUS I, Gran Capitán 2-4, 08034 Barcelona, Spain.
Christian FletcherMercedes-AMG Petronas Formula One Team, Brackley, Northamptonshire, UK.
Robert StillMercedes-AMG Petronas Formula One Team, Brackley, Northamptonshire, UK.
Denis DoorlyImperial College London, Department of Aeronautics, Exhibition Road, London SW7 2AZ, UK.
Imperial College London · GBBarcelona Supercomputing Center · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In view of the ongoing COVID-19 pandemic and its effects on global health, understanding and accurately modelling the propagation of human biological aerosols has become crucial. Worldwide, health professionals have been one of the most affected demographics, representing approximately 20% of all cases in Spain, 10% in Italy and 4% in China and US. Methods to contain and remove potentially infected aerosols during Aerosol Generating Procedures (AGPs) near source offer advantages in reducing the contamination of protective clothing and the surrounding theatre equipment and space. In this work we describe the application of computational fluid dynamics in assessing the performance of a prototype extraction hood as a means to contain a high speed aerosol jet. Whilst the particular prototype device is intended to be used during tracheotomies, which are increasingly common in the wake of COVID-19, the underlying physics can be adapted to design similar machines for other AGPs. Computational modelling aspect of this study was largely carried out by Barcelona Supercomputing Center using the high performance computational mechanics code Alya. Based on the high fidelity LES coupled with Lagrangian frameworks the results demonstrate high containment efficiency of generated particles is feasible with achievable air extraction rates.

Indexed as

BioaerosolsCFDCOVID-19LESRound turbulent jet

Identifiers

PMID34334806
PMCPMC8314856
OpenAlexW3188941135

What OpenQuestion holds

Textmetadata
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.