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Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network

Human exposure to infectious aerosols results in the transmission of diseases such as influenza, tuberculosis, and COVID-19. Most dental procedures generate a significant number of aerosolized particles, increasing transmission risk in dental settings. Since the generation of aerosols in dentistry i...

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Detalles Bibliográficos
Autores principales: Makhsous, Sepehr, Segovia, Joelle M., He, Jiayang, Chan, Daniel, Lee, Larry, Novosselov, Igor V., Mamishev, Alexander V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201307/
https://www.ncbi.nlm.nih.gov/pubmed/34200380
http://dx.doi.org/10.3390/s21113928
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author Makhsous, Sepehr
Segovia, Joelle M.
He, Jiayang
Chan, Daniel
Lee, Larry
Novosselov, Igor V.
Mamishev, Alexander V.
author_facet Makhsous, Sepehr
Segovia, Joelle M.
He, Jiayang
Chan, Daniel
Lee, Larry
Novosselov, Igor V.
Mamishev, Alexander V.
author_sort Makhsous, Sepehr
collection PubMed
description Human exposure to infectious aerosols results in the transmission of diseases such as influenza, tuberculosis, and COVID-19. Most dental procedures generate a significant number of aerosolized particles, increasing transmission risk in dental settings. Since the generation of aerosols in dentistry is unavoidable, many clinics have started using intervention strategies such as area-filtration units and extraoral evacuation equipment, especially under the relatively recent constraints of the pandemic. However, the effectiveness of these devices in dental operatories has not been studied. Therefore, the ability of dental personnel to efficiently position and operate such instruments is also limited. To address these challenges, we utilized a real-time sensor network for assessment of aerosol dynamics during dental restoration and cleaning producers with and without intervention. The strategies tested during the procedures were (i) local area High-Efficiency Particle Air (HEPA) filters and (ii) Extra-Oral Suction Device (EOSD). The study was conducted at the University of Washington School of Dentistry using a network of 13 fixed sensors positioned within the operatory and one wearable sensor worn by the dental operator. The sensor network provides time and space-resolved particulate matter (PM) data. Three-dimensional (3D) visualization informed aerosol persistence in the operatory. It was found that area filters did not improve the overall aerosol concentration in dental offices in a significant way. A decrease in PM concentration by an average of 16% was observed when EOSD equipment was used during the procedures. The combination of real-time sensors and 3D visualization can provide dental personnel and facility managers with actionable feedback to effectively assess aerosol transmission in medical settings and develop evidence-based intervention strategies.
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spelling pubmed-82013072021-06-15 Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network Makhsous, Sepehr Segovia, Joelle M. He, Jiayang Chan, Daniel Lee, Larry Novosselov, Igor V. Mamishev, Alexander V. Sensors (Basel) Communication Human exposure to infectious aerosols results in the transmission of diseases such as influenza, tuberculosis, and COVID-19. Most dental procedures generate a significant number of aerosolized particles, increasing transmission risk in dental settings. Since the generation of aerosols in dentistry is unavoidable, many clinics have started using intervention strategies such as area-filtration units and extraoral evacuation equipment, especially under the relatively recent constraints of the pandemic. However, the effectiveness of these devices in dental operatories has not been studied. Therefore, the ability of dental personnel to efficiently position and operate such instruments is also limited. To address these challenges, we utilized a real-time sensor network for assessment of aerosol dynamics during dental restoration and cleaning producers with and without intervention. The strategies tested during the procedures were (i) local area High-Efficiency Particle Air (HEPA) filters and (ii) Extra-Oral Suction Device (EOSD). The study was conducted at the University of Washington School of Dentistry using a network of 13 fixed sensors positioned within the operatory and one wearable sensor worn by the dental operator. The sensor network provides time and space-resolved particulate matter (PM) data. Three-dimensional (3D) visualization informed aerosol persistence in the operatory. It was found that area filters did not improve the overall aerosol concentration in dental offices in a significant way. A decrease in PM concentration by an average of 16% was observed when EOSD equipment was used during the procedures. The combination of real-time sensors and 3D visualization can provide dental personnel and facility managers with actionable feedback to effectively assess aerosol transmission in medical settings and develop evidence-based intervention strategies. MDPI 2021-06-07 /pmc/articles/PMC8201307/ /pubmed/34200380 http://dx.doi.org/10.3390/s21113928 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Makhsous, Sepehr
Segovia, Joelle M.
He, Jiayang
Chan, Daniel
Lee, Larry
Novosselov, Igor V.
Mamishev, Alexander V.
Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network
title Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network
title_full Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network
title_fullStr Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network
title_full_unstemmed Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network
title_short Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network
title_sort methodology for addressing infectious aerosol persistence in real-time using sensor network
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201307/
https://www.ncbi.nlm.nih.gov/pubmed/34200380
http://dx.doi.org/10.3390/s21113928
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