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Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic
COVID-19, caused by the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus, has been rapidly spreading worldwide since December 2019, causing a public health crisis. Recent studies showed SARS-CoV-2's ability to infect humans via airborne routes. These motivated the study of aer...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIP Publishing LLC
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060974/ https://www.ncbi.nlm.nih.gov/pubmed/33897241 http://dx.doi.org/10.1063/5.0043934 |
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author | Komperda, Jonathan Peyvan, Ahmad Li, Dongru Kashir, Babak Yarin, Alexander L. Megaridis, Constantine M. Mirbod, Parisa Paprotny, Igor Cooper, Lyndon F. Rowan, Susan Stanford, Clark Mashayek, Farzad |
author_facet | Komperda, Jonathan Peyvan, Ahmad Li, Dongru Kashir, Babak Yarin, Alexander L. Megaridis, Constantine M. Mirbod, Parisa Paprotny, Igor Cooper, Lyndon F. Rowan, Susan Stanford, Clark Mashayek, Farzad |
author_sort | Komperda, Jonathan |
collection | PubMed |
description | COVID-19, caused by the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus, has been rapidly spreading worldwide since December 2019, causing a public health crisis. Recent studies showed SARS-CoV-2's ability to infect humans via airborne routes. These motivated the study of aerosol and airborne droplet transmission in a variety of settings. This study performs a large-scale numerical simulation of a real-world dentistry clinic that contains aerosol-generating procedures. The simulation tracks the dispersion of evaporating droplets emitted during ultrasonic dental scaling procedures. The simulation considers 25 patient treatment cubicles in an open plan dentistry clinic. The droplets are modeled as having a volatile (evaporating) and nonvolatile fraction composed of virions, saliva, and impurities from the irrigant water supply. The simulated clinic's boundary and flow conditions are validated against experimental measurements of the real clinic. The results evaluate the behavior of large droplets and aerosols. We investigate droplet residence time and travel distance for different droplet diameters, surface contamination due to droplet settling and deposition, airborne aerosol mass concentration, and the quantity of droplets that escape through ventilation. The simulation results raise concerns due to the aerosols' long residence times (averaging up to 7.31 min) and travel distances (averaging up to 24.45 m) that exceed social distancing guidelines. Finally, the results show that contamination extends beyond the immediate patient treatment areas, requiring additional surface disinfection in the clinic. The results presented in this research may be used to establish safer dental clinic operating procedures, especially if paired with future supplementary material concerning the aerosol viral load generated by ultrasonic scaling and the viral load thresholds required to infect humans. |
format | Online Article Text |
id | pubmed-8060974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AIP Publishing LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-80609742021-04-22 Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic Komperda, Jonathan Peyvan, Ahmad Li, Dongru Kashir, Babak Yarin, Alexander L. Megaridis, Constantine M. Mirbod, Parisa Paprotny, Igor Cooper, Lyndon F. Rowan, Susan Stanford, Clark Mashayek, Farzad Phys Fluids (1994) ARTICLES COVID-19, caused by the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus, has been rapidly spreading worldwide since December 2019, causing a public health crisis. Recent studies showed SARS-CoV-2's ability to infect humans via airborne routes. These motivated the study of aerosol and airborne droplet transmission in a variety of settings. This study performs a large-scale numerical simulation of a real-world dentistry clinic that contains aerosol-generating procedures. The simulation tracks the dispersion of evaporating droplets emitted during ultrasonic dental scaling procedures. The simulation considers 25 patient treatment cubicles in an open plan dentistry clinic. The droplets are modeled as having a volatile (evaporating) and nonvolatile fraction composed of virions, saliva, and impurities from the irrigant water supply. The simulated clinic's boundary and flow conditions are validated against experimental measurements of the real clinic. The results evaluate the behavior of large droplets and aerosols. We investigate droplet residence time and travel distance for different droplet diameters, surface contamination due to droplet settling and deposition, airborne aerosol mass concentration, and the quantity of droplets that escape through ventilation. The simulation results raise concerns due to the aerosols' long residence times (averaging up to 7.31 min) and travel distances (averaging up to 24.45 m) that exceed social distancing guidelines. Finally, the results show that contamination extends beyond the immediate patient treatment areas, requiring additional surface disinfection in the clinic. The results presented in this research may be used to establish safer dental clinic operating procedures, especially if paired with future supplementary material concerning the aerosol viral load generated by ultrasonic scaling and the viral load thresholds required to infect humans. AIP Publishing LLC 2021-03 2021-03-29 /pmc/articles/PMC8060974/ /pubmed/33897241 http://dx.doi.org/10.1063/5.0043934 Text en © 2021 Author(s) Published under license by AIP Publishing. 1070-6631/2021/33(3)/033328/24/$30.00 https://creativecommons.org/licenses/by/4.0/All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | ARTICLES Komperda, Jonathan Peyvan, Ahmad Li, Dongru Kashir, Babak Yarin, Alexander L. Megaridis, Constantine M. Mirbod, Parisa Paprotny, Igor Cooper, Lyndon F. Rowan, Susan Stanford, Clark Mashayek, Farzad Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic |
title | Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic |
title_full | Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic |
title_fullStr | Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic |
title_full_unstemmed | Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic |
title_short | Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic |
title_sort | computer simulation of the sars-cov-2 contamination risk in a large dental clinic |
topic | ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060974/ https://www.ncbi.nlm.nih.gov/pubmed/33897241 http://dx.doi.org/10.1063/5.0043934 |
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