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Communication

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

1
Department of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA 98195, USA
2
School of Dentistry, University of Washington, 1959 NE Pacific St., B-307, Seattle, WA 98195, USA
3
Pacific Industrial Hygiene, LLC, 5520 106th Ave NE, Kirkland, WA 98033, USA
4
Department of Electrical and Computer Engineering, University of Washington, Paul Allen Center, 185 E Stevens Way NE AE100R, Seattle, WA 98195, USA
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(11), 3928; https://doi.org/10.3390/s21113928
Submission received: 25 April 2021 / Revised: 28 May 2021 / Accepted: 29 May 2021 / Published: 7 June 2021

Abstract

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.
Keywords: aerosols; dental clinics; infection control; high-volume evacuation; extra-oral suction device; particle concentration; sensor network; dispersion modeling; exposure assessment; air quality aerosols; dental clinics; infection control; high-volume evacuation; extra-oral suction device; particle concentration; sensor network; dispersion modeling; exposure assessment; air quality

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MDPI and ACS Style

Makhsous, S.; Segovia, J.M.; He, J.; Chan, D.; Lee, L.; Novosselov, I.V.; Mamishev, A.V. Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network. Sensors 2021, 21, 3928. https://doi.org/10.3390/s21113928

AMA Style

Makhsous S, Segovia JM, He J, Chan D, Lee L, Novosselov IV, Mamishev AV. Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network. Sensors. 2021; 21(11):3928. https://doi.org/10.3390/s21113928

Chicago/Turabian Style

Makhsous, Sepehr, Joelle M. Segovia, Jiayang He, Daniel Chan, Larry Lee, Igor V. Novosselov, and Alexander V. Mamishev. 2021. "Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network" Sensors 21, no. 11: 3928. https://doi.org/10.3390/s21113928

APA Style

Makhsous, S., Segovia, J. M., He, J., Chan, D., Lee, L., Novosselov, I. V., & Mamishev, A. V. (2021). Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network. Sensors, 21(11), 3928. https://doi.org/10.3390/s21113928

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