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Numerical Flow Simulation on the Virus Spread of SARS-CoV-2 Due to Airborne Transmission in a Classroom

Author

Listed:
  • Lara Moeller

    (Faculty of Engineering, Leipzig University of Applied Sciences, 04277 Leipzig, Germany)

  • Florian Wallburg

    (Faculty of Engineering, Leipzig University of Applied Sciences, 04277 Leipzig, Germany)

  • Felix Kaule

    (Faculty of Engineering, Leipzig University of Applied Sciences, 04277 Leipzig, Germany)

  • Stephan Schoenfelder

    (Faculty of Engineering, Leipzig University of Applied Sciences, 04277 Leipzig, Germany)

Abstract

In order to continue using highly frequented rooms such as classrooms, seminar rooms, offices, etc., any SARS-CoV-2 virus concentration that may be present must be kept low or reduced through suitable ventilation measures. In this work, computational fluid dynamics (CFD) is used to develop a virtual simulation model for calculating and analysing the viral load due to airborne transmission in indoor environments aiming to provide a temporally and spatially-resolved risk assessment with explicit relation to the infectivity of SARS-CoV-2. In this work, the first results of the model and method are presented. In particular, the work focuses on a critical area of the education infrastructure that has suffered severely from the pandemic: classrooms. In two representative classroom scenarios (teaching and examination), the duration of stay for low risk of infection is investigated at different positions in the rooms for the case that one infectious person is present. The results qualitatively agree well with a documented outbreak in an elementary school but also show, in comparisons with other published data, how sensitive the assessment of the infection risk is to the amount of virus emitted on the individual amount of virus required for infection, as well as on the supply air volume. In this regard, the developed simulation model can be used as a useful virtual assessment for a detailed seat-related overview of the risk of infection, which is a significant advantage over established analytical models.

Suggested Citation

  • Lara Moeller & Florian Wallburg & Felix Kaule & Stephan Schoenfelder, 2022. "Numerical Flow Simulation on the Virus Spread of SARS-CoV-2 Due to Airborne Transmission in a Classroom," IJERPH, MDPI, vol. 19(10), pages 1-19, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6279-:d:821076
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    References listed on IDEAS

    as
    1. Jos Lelieveld & Frank Helleis & Stephan Borrmann & Yafang Cheng & Frank Drewnick & Gerald Haug & Thomas Klimach & Jean Sciare & Hang Su & Ulrich Pöschl, 2020. "Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments," IJERPH, MDPI, vol. 17(21), pages 1-18, November.
    2. Yuan Liu & Zhi Ning & Yu Chen & Ming Guo & Yingle Liu & Nirmal Kumar Gali & Li Sun & Yusen Duan & Jing Cai & Dane Westerdahl & Xinjin Liu & Ke Xu & Kin-fai Ho & Haidong Kan & Qingyan Fu & Ke Lan, 2020. "Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals," Nature, Nature, vol. 582(7813), pages 557-560, June.
    3. Marjan Mohamadi & Awa Babington-Ashaye & Agnès Lefort & Antoine Flahault, 2021. "Risks of Infection with SARS-CoV-2 Due to Contaminated Surfaces: A Scoping Review," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    4. Mahdieh Delikhoon & Marcelo I. Guzman & Ramin Nabizadeh & Abbas Norouzian Baghani, 2021. "Modes of Transmission of Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) and Factors Influencing on the Airborne Transmission: A Review," IJERPH, MDPI, vol. 18(2), pages 1-18, January.
    5. Finn F. Duill & Florian Schulz & Aman Jain & Leve Krieger & Berend van Wachem & Frank Beyrau, 2021. "The Impact of Large Mobile Air Purifiers on Aerosol Concentration in Classrooms and the Reduction of Airborne Transmission of SARS-CoV-2," IJERPH, MDPI, vol. 18(21), pages 1-31, November.
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