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A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room
The COVID-19 is a severe respiratory disease caused by a devastating coronavirus family (2019-nCoV) has become a pandemic across the globe. It is an infectious virus and transmits by inhalation or contact with droplet nuclei produced during sneezing, coughing, and speaking by infected people. Airbor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498234/ https://www.ncbi.nlm.nih.gov/pubmed/32963423 http://dx.doi.org/10.1016/j.chaos.2020.110294 |
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author | Bhattacharyya, Suvanjan Dey, Kunal Paul, Akshoy Ranjan Biswas, Ranjib |
author_facet | Bhattacharyya, Suvanjan Dey, Kunal Paul, Akshoy Ranjan Biswas, Ranjib |
author_sort | Bhattacharyya, Suvanjan |
collection | PubMed |
description | The COVID-19 is a severe respiratory disease caused by a devastating coronavirus family (2019-nCoV) has become a pandemic across the globe. It is an infectious virus and transmits by inhalation or contact with droplet nuclei produced during sneezing, coughing, and speaking by infected people. Airborne transmission of COVID-19 is also possible in a confined place in the immediate environment of the infected person. Present study investigates the effectiveness of conditioned air released from air-conditioning machines to mix with aerosol sanitizer to reach every point of the space of the isolation room so as to kill the COVID-19 virus which will help to protect the lives of doctors, nurses and health care workers. In order to numerically model the laminar-transitional flows, transition SST k-ε model, which involves four transport equations are employed in the current study. It is found from the analysis that high turbulent fields generated inside the isolation room may be an effective way of distributing sanitizer in entire volume of isolation room to kill the COVID-19 virus. |
format | Online Article Text |
id | pubmed-7498234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74982342020-09-18 A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room Bhattacharyya, Suvanjan Dey, Kunal Paul, Akshoy Ranjan Biswas, Ranjib Chaos Solitons Fractals Article The COVID-19 is a severe respiratory disease caused by a devastating coronavirus family (2019-nCoV) has become a pandemic across the globe. It is an infectious virus and transmits by inhalation or contact with droplet nuclei produced during sneezing, coughing, and speaking by infected people. Airborne transmission of COVID-19 is also possible in a confined place in the immediate environment of the infected person. Present study investigates the effectiveness of conditioned air released from air-conditioning machines to mix with aerosol sanitizer to reach every point of the space of the isolation room so as to kill the COVID-19 virus which will help to protect the lives of doctors, nurses and health care workers. In order to numerically model the laminar-transitional flows, transition SST k-ε model, which involves four transport equations are employed in the current study. It is found from the analysis that high turbulent fields generated inside the isolation room may be an effective way of distributing sanitizer in entire volume of isolation room to kill the COVID-19 virus. Elsevier Ltd. 2020-10 2020-09-17 /pmc/articles/PMC7498234/ /pubmed/32963423 http://dx.doi.org/10.1016/j.chaos.2020.110294 Text en © 2020 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 Bhattacharyya, Suvanjan Dey, Kunal Paul, Akshoy Ranjan Biswas, Ranjib A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room |
title | A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room |
title_full | A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room |
title_fullStr | A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room |
title_full_unstemmed | A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room |
title_short | A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room |
title_sort | novel cfd analysis to minimize the spread of covid-19 virus in hospital isolation room |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498234/ https://www.ncbi.nlm.nih.gov/pubmed/32963423 http://dx.doi.org/10.1016/j.chaos.2020.110294 |
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