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A numerical approach for preventing the dispersion of infectious disease in a meeting room

Airborne transmission of respiratory aerosols carrying infectious viruses has generated many concerns about cross-contamination risks, particularly in indoor environments. ANSYS Fluent software has been used to investigate the dispersion of the viral particles generated during a coughing event and t...

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Autores principales: Ahmadzadeh, Mahdi, Shams, Mehrzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549042/
https://www.ncbi.nlm.nih.gov/pubmed/36217014
http://dx.doi.org/10.1038/s41598-022-21161-z
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author Ahmadzadeh, Mahdi
Shams, Mehrzad
author_facet Ahmadzadeh, Mahdi
Shams, Mehrzad
author_sort Ahmadzadeh, Mahdi
collection PubMed
description Airborne transmission of respiratory aerosols carrying infectious viruses has generated many concerns about cross-contamination risks, particularly in indoor environments. ANSYS Fluent software has been used to investigate the dispersion of the viral particles generated during a coughing event and their transport dynamics inside a safe social-distance meeting room. Computational fluid dynamics based on coupled Eulerian–Lagrangian techniques are used to explore the characteristics of the airflow field in the domain. The main objective of this study is to investigate the effects of the window opening frequency, exhaust layouts, and the location of the air conditioner systems on the dispersion of the particles. The results show that reducing the output capacity by raising the concentration of suspended particles and increasing their traveled distance caused a growth in the individuals' exposure to contaminants. Moreover, decreasing the distance between the ventilation systems installed location and the ceiling can drop the fraction of the suspended particles by over 35%, and the number of individuals who are subjected to becoming infected by viral particles drops from 6 to 2. As well, the results demonstrated when the direction of input airflow and generated particles were the same, the fraction of suspended particles of 4.125%, whereas if the inputs were shifted to the opposite direction of particle injection, the fraction of particles in fluid increased by 5.000%.
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spelling pubmed-95490422022-10-11 A numerical approach for preventing the dispersion of infectious disease in a meeting room Ahmadzadeh, Mahdi Shams, Mehrzad Sci Rep Article Airborne transmission of respiratory aerosols carrying infectious viruses has generated many concerns about cross-contamination risks, particularly in indoor environments. ANSYS Fluent software has been used to investigate the dispersion of the viral particles generated during a coughing event and their transport dynamics inside a safe social-distance meeting room. Computational fluid dynamics based on coupled Eulerian–Lagrangian techniques are used to explore the characteristics of the airflow field in the domain. The main objective of this study is to investigate the effects of the window opening frequency, exhaust layouts, and the location of the air conditioner systems on the dispersion of the particles. The results show that reducing the output capacity by raising the concentration of suspended particles and increasing their traveled distance caused a growth in the individuals' exposure to contaminants. Moreover, decreasing the distance between the ventilation systems installed location and the ceiling can drop the fraction of the suspended particles by over 35%, and the number of individuals who are subjected to becoming infected by viral particles drops from 6 to 2. As well, the results demonstrated when the direction of input airflow and generated particles were the same, the fraction of suspended particles of 4.125%, whereas if the inputs were shifted to the opposite direction of particle injection, the fraction of particles in fluid increased by 5.000%. Nature Publishing Group UK 2022-10-10 /pmc/articles/PMC9549042/ /pubmed/36217014 http://dx.doi.org/10.1038/s41598-022-21161-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ahmadzadeh, Mahdi
Shams, Mehrzad
A numerical approach for preventing the dispersion of infectious disease in a meeting room
title A numerical approach for preventing the dispersion of infectious disease in a meeting room
title_full A numerical approach for preventing the dispersion of infectious disease in a meeting room
title_fullStr A numerical approach for preventing the dispersion of infectious disease in a meeting room
title_full_unstemmed A numerical approach for preventing the dispersion of infectious disease in a meeting room
title_short A numerical approach for preventing the dispersion of infectious disease in a meeting room
title_sort numerical approach for preventing the dispersion of infectious disease in a meeting room
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549042/
https://www.ncbi.nlm.nih.gov/pubmed/36217014
http://dx.doi.org/10.1038/s41598-022-21161-z
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