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Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings

Jelle Vanhaeverbeke (UGent) , Emiel Deprost (UGent) , Pieter Bonte (UGent) , Matthias Strobbe (UGent) , Jelle Nelis (UGent) , Bruno Volckaert (UGent) , Femke Ongenae (UGent) , Steven Verstockt (UGent) and Sofie Van Hoecke (UGent)
(2023) SENSORS. 23(5).
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Abstract
A healthy and safe indoor environment is an important part of containing the coronavirus disease 2019 (COVID-19) pandemic. Therefore, this work presents a real-time Internet of things (IoT) software architecture to automatically calculate and visualize a COVID-19 aerosol transmission risk estimation. This risk estimation is based on indoor climate sensor data, such as carbon dioxide (CO2) and temperature, which is fed into Streaming MASSIF, a semantic stream processing platform, to perform the computations. The results are visualized on a dynamic dashboard that automatically suggests appropriate visualizations based on the semantics of the data. To evaluate the complete architecture, the indoor climate during the student examination periods of January 2020 (pre-COVID) and January 2021 (mid-COVID) was analyzed. When compared to each other, we observe that the COVID-19 measures in 2021 resulted in a safer indoor environment.
Keywords
COVID-19 aerosol transmission risk estimation, dynamic dashboard, streaming architecture, indoor sensors, IoT, semantic data, building, management, AIRBORNE TRANSMISSION, INDOOR ENVIRONMENTS

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MLA
Vanhaeverbeke, Jelle, et al. “Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings.” SENSORS, vol. 23, no. 5, 2023, doi:10.3390/s23052459.
APA
Vanhaeverbeke, J., Deprost, E., Bonte, P., Strobbe, M., Nelis, J., Volckaert, B., … Van Hoecke, S. (2023). Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings. SENSORS, 23(5). https://doi.org/10.3390/s23052459
Chicago author-date
Vanhaeverbeke, Jelle, Emiel Deprost, Pieter Bonte, Matthias Strobbe, Jelle Nelis, Bruno Volckaert, Femke Ongenae, Steven Verstockt, and Sofie Van Hoecke. 2023. “Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings.” SENSORS 23 (5). https://doi.org/10.3390/s23052459.
Chicago author-date (all authors)
Vanhaeverbeke, Jelle, Emiel Deprost, Pieter Bonte, Matthias Strobbe, Jelle Nelis, Bruno Volckaert, Femke Ongenae, Steven Verstockt, and Sofie Van Hoecke. 2023. “Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings.” SENSORS 23 (5). doi:10.3390/s23052459.
Vancouver
1.
Vanhaeverbeke J, Deprost E, Bonte P, Strobbe M, Nelis J, Volckaert B, et al. Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings. SENSORS. 2023;23(5).
IEEE
[1]
J. Vanhaeverbeke et al., “Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings,” SENSORS, vol. 23, no. 5, 2023.
@article{01GX2YYJDA626ER3C92ET83VME,
  abstract     = {{A healthy and safe indoor environment is an important part of containing the coronavirus disease 2019 (COVID-19) pandemic. Therefore, this work presents a real-time Internet of things (IoT) software architecture to automatically calculate and visualize a COVID-19 aerosol transmission risk estimation. This risk estimation is based on indoor climate sensor data, such as carbon dioxide (CO2) and temperature, which is fed into Streaming MASSIF, a semantic stream processing platform, to perform the computations. The results are visualized on a dynamic dashboard that automatically suggests appropriate visualizations based on the semantics of the data. To evaluate the complete architecture, the indoor climate during the student examination periods of January 2020 (pre-COVID) and January 2021 (mid-COVID) was analyzed. When compared to each other, we observe that the COVID-19 measures in 2021 resulted in a safer indoor environment.}},
  articleno    = {{2459}},
  author       = {{Vanhaeverbeke, Jelle and Deprost, Emiel and Bonte, Pieter and Strobbe, Matthias and Nelis, Jelle and Volckaert, Bruno and Ongenae, Femke and Verstockt, Steven and Van Hoecke, Sofie}},
  issn         = {{1424-8220}},
  journal      = {{SENSORS}},
  keywords     = {{COVID-19 aerosol transmission risk estimation,dynamic dashboard,streaming architecture,indoor sensors,IoT,semantic data,building,management,AIRBORNE TRANSMISSION,INDOOR ENVIRONMENTS}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{18}},
  title        = {{Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings}},
  url          = {{http://doi.org/10.3390/s23052459}},
  volume       = {{23}},
  year         = {{2023}},
}

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