IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i18p11300-d909998.html
   My bibliography  Save this article

Experimental Methods of Investigating Airborne Indoor Virus-Transmissions Adapted to Several Ventilation Measures

Author

Listed:
  • Lukas Siebler

    (Institute for Building Energetics, Thermotechnology and Energy Storage (IGTE), University of Stuttgart, Pfaffenwaldring 35, 70569 Stuttgart, Germany)

  • Maurizio Calandri

    (Institute for Building Energetics, Thermotechnology and Energy Storage (IGTE), University of Stuttgart, Pfaffenwaldring 35, 70569 Stuttgart, Germany)

  • Torben Rathje

    (Institute for Building Energetics, Thermotechnology and Energy Storage (IGTE), University of Stuttgart, Pfaffenwaldring 35, 70569 Stuttgart, Germany)

  • Konstantinos Stergiaropoulos

    (Institute for Building Energetics, Thermotechnology and Energy Storage (IGTE), University of Stuttgart, Pfaffenwaldring 35, 70569 Stuttgart, Germany)

Abstract

This study introduces a principle that unifies two experimental methods for evaluating airborne indoor virus-transmissions adapted to several ventilation measures. A first-time comparison of mechanical/natural ventilation and air purification with regard to infection risks is enabled. Effortful computational fluid dynamics demand detailed boundary conditions for accurate calculations of indoor airflows, which are often unknown. Hence, a suitable, simple and generalized experimental set up for identifying the spatial and temporal infection risk for different ventilation measures is more qualified even with unknown boundary conditions. A trace gas method is suitable for mechanical and natural ventilation with outdoor air exchange. For an accurate assessment of air purifiers based on filtration, a surrogate particle method is appropriate. The release of a controlled rate of either trace gas or particles simulates an infectious person releasing virus material. Surrounding substance concentration measurements identify the neighborhood exposure. One key aspect of the study is to prove that the requirement of concordant results of both methods is fulfilled. This is the only way to ensure that the comparison of different ventilation measures described above is reliable. Two examples (a two-person office and a classroom) show how practical both methods are and how the principle is applicable for different types and sizes of rooms.

Suggested Citation

  • Lukas Siebler & Maurizio Calandri & Torben Rathje & Konstantinos Stergiaropoulos, 2022. "Experimental Methods of Investigating Airborne Indoor Virus-Transmissions Adapted to Several Ventilation Measures," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11300-:d:909998
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/18/11300/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/18/11300/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tareq Hussein & Jakob Löndahl & Sara Thuresson & Malin Alsved & Afnan Al-Hunaiti & Kalle Saksela & Hazem Aqel & Heikki Junninen & Alexander Mahura & Markku Kulmala, 2021. "Indoor Model Simulation for COVID-19 Transport and Exposure," IJERPH, MDPI, vol. 18(6), pages 1-16, March.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marta Baselga & Juan J. Alba & Alberto J. Schuhmacher, 2022. "The Control of Metabolic CO 2 in Public Transport as a Strategy to Reduce the Transmission of Respiratory Infectious Diseases," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    2. Zander S. Venter & Adam Sadilek & Charlotte Stanton & David N. Barton & Kristin Aunan & Sourangsu Chowdhury & Aaron Schneider & Stefano Maria Iacus, 2021. "Mobility in Blue-Green Spaces Does Not Predict COVID-19 Transmission: A Global Analysis," IJERPH, MDPI, vol. 18(23), pages 1-12, November.
    3. Junsik Park & Gurjoong Kim, 2022. "Social Efficiency of Public Transportation Policy in Response to COVID-19: Model Development and Application to Intercity Buses in Seoul Metropolitan Area," IJERPH, MDPI, vol. 19(19), pages 1-14, September.
    4. Laurentiu Predescu & Daniel Dunea, 2021. "Performance Evaluation of Particulate Matter and Indoor Microclimate Monitors in University Classrooms under COVID-19 Restrictions," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
    5. Birte Knobling & Gefion Franke & Lisa Beike & Timo Dickhuth & Johannes K. Knobloch, 2022. "Reading the Score of the Air—Change in Airborne Microbial Load in Contrast to Particulate Matter during Music Making," IJERPH, MDPI, vol. 19(16), pages 1-13, August.
    6. Pollozhani, Fatos & McLeod, Robert S. & Schwarzbauer, Christian & Hopfe, Christina J., 2024. "Assessing school ventilation strategies from the perspective of health, environment, and energy," Applied Energy, Elsevier, vol. 353(PA).
    7. Thomas Harweg & Mathias Wagner & Frank Weichert, 2022. "Agent-Based Simulation for Infectious Disease Modelling over a Period of Multiple Days, with Application to an Airport Scenario," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    8. Henri Salmenjoki & Marko Korhonen & Antti Puisto & Ville Vuorinen & Mikko J Alava, 2021. "Modelling aerosol-based exposure to SARS-CoV-2 by an agent based Monte Carlo method: Risk estimates in a shop and bar," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-12, November.
    9. Wolfgang Schade & Vladislav Reimer & Martin Seipenbusch & Ulrike Willer, 2021. "Experimental Investigation of Aerosol and CO 2 Dispersion for Evaluation of COVID-19 Infection Risk in a Concert Hall," IJERPH, MDPI, vol. 18(6), pages 1-11, March.
    10. Chen Lu & Xiaodi Yi & Xiaocui Ren, 2022. "Social Group Differences in the Exposure Risk of COVID-19: A Case Study in Beijing, China," IJERPH, MDPI, vol. 19(3), pages 1-19, January.
    11. Maria Hurnik & Piotr Ciuman & Zbigniew Popiolek, 2024. "Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room," Energies, MDPI, vol. 17(5), pages 1-19, March.
    12. Stephen Bok & Daniel E. Martin & Erik Acosta & Maria Lee & James Shum, 2021. "Validation of the COVID-19 Transmission Misinformation Scale and Conditional Indirect Negative Effects on Wearing a Mask in Public," IJERPH, MDPI, vol. 18(21), pages 1-23, October.
    13. Martin Kriegel & Anne Hartmann & Udo Buchholz & Janna Seifried & Sigrid Baumgarte & Petra Gastmeier, 2021. "SARS-CoV-2 Aerosol Transmission Indoors: A Closer Look at Viral Load, Infectivity, the Effectiveness of Preventive Measures and a Simple Approach for Practical Recommendations," IJERPH, MDPI, vol. 19(1), pages 1-31, December.
    14. Shirley Gee Hoon Tang & Muhamad Haziq Hasnul Hadi & Siti Rosilah Arsad & Pin Jern Ker & Santhi Ramanathan & Nayli Aliah Mohd Afandi & Madihah Mohd Afzal & Mei Wyin Yaw & Prajindra Sankar Krishnan & Ch, 2022. "Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate," IJERPH, MDPI, vol. 19(20), pages 1-38, October.
    15. Kristijan Lavtižar & Alenka Fikfak & Rok Fink, 2023. "Overlooked Impacts of Urban Environments on the Air Quality in Naturally Ventilated Schools Amid the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(3), pages 1-16, February.
    16. Sergio A. Chillon & Mikel Millan & Iñigo Aramendia & Unai Fernandez-Gamiz & Ekaitz Zulueta & Xabier Mendaza-Sagastizabal, 2021. "Natural Ventilation Characterization in a Classroom under Different Scenarios," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    17. Sonja Jäckle & Elias Röger & Volker Dicken & Benjamin Geisler & Jakob Schumacher & Max Westphal, 2021. "A Statistical Model to Assess Risk for Supporting COVID-19 Quarantine Decisions," IJERPH, MDPI, vol. 18(17), pages 1-13, August.
    18. 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.
    19. Tareq Hussein & Jakob Löndahl & Sara Thuresson & Malin Alsved & Afnan Al-Hunaiti & Kalle Saksela & Hazem Aqel & Heikki Junninen & Alexander Mahura & Markku Kulmala, 2021. "Indoor Model Simulation for COVID-19 Transport and Exposure," IJERPH, MDPI, vol. 18(6), pages 1-16, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11300-:d:909998. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.