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Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy
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 ca...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314856/ https://www.ncbi.nlm.nih.gov/pubmed/34334806 http://dx.doi.org/10.1016/j.jaerosci.2021.105848 |
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author | Calmet, Hadrien Bertomeu, Pablo Ferrer McIntyre, Charlotte Rennie, Catherine Gouder, Kevin Houzeaux, Guillaume Fletcher, Christian Still, Robert Doorly, Denis |
author_facet | Calmet, Hadrien Bertomeu, Pablo Ferrer McIntyre, Charlotte Rennie, Catherine Gouder, Kevin Houzeaux, Guillaume Fletcher, Christian Still, Robert Doorly, Denis |
author_sort | Calmet, Hadrien |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8314856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83148562021-07-27 Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy Calmet, Hadrien Bertomeu, Pablo Ferrer McIntyre, Charlotte Rennie, Catherine Gouder, Kevin Houzeaux, Guillaume Fletcher, Christian Still, Robert Doorly, Denis J Aerosol Sci Article 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. Elsevier Ltd. 2022-01 2021-07-27 /pmc/articles/PMC8314856/ /pubmed/34334806 http://dx.doi.org/10.1016/j.jaerosci.2021.105848 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Calmet, Hadrien Bertomeu, Pablo Ferrer McIntyre, Charlotte Rennie, Catherine Gouder, Kevin Houzeaux, Guillaume Fletcher, Christian Still, Robert Doorly, Denis Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy |
title | Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy |
title_full | Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy |
title_fullStr | Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy |
title_full_unstemmed | Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy |
title_short | Computational modelling of an aerosol extraction device for use in COVID-19 surgical tracheotomy |
title_sort | computational modelling of an aerosol extraction device for use in covid-19 surgical tracheotomy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314856/ https://www.ncbi.nlm.nih.gov/pubmed/34334806 http://dx.doi.org/10.1016/j.jaerosci.2021.105848 |
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