Literature DB >> 34200380

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

Sepehr Makhsous1, Joelle M Segovia1, Jiayang He1, Daniel Chan2, Larry Lee3, Igor V Novosselov1, Alexander V Mamishev4.   

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.

Entities:  

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

Year:  2021        PMID: 34200380     DOI: 10.3390/s21113928

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  A review of facilities management interventions to mitigate respiratory infections in existing buildings.

Authors:  Yan Zhang; Felix Kin Peng Hui; Colin Duffield; Ali Mohammed Saeed
Journal:  Build Environ       Date:  2022-06-28       Impact factor: 7.093

2.  Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements.

Authors:  Ching-Hsuan Huang; Jiayang He; Elena Austin; Edmund Seto; Igor Novosselov
Journal:  PLoS One       Date:  2021-11-11       Impact factor: 3.240

3.  In Vivo Study of Aerosol, Droplets and Splatter Reduction in Dentistry.

Authors:  Naeemah Noordien; Suné Mulder-van Staden; Riaan Mulder
Journal:  Viruses       Date:  2021-09-25       Impact factor: 5.048

  3 in total

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