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Authors: Jānis Grabis 1 ; Rūta-Pirta Dreimane 1 ; Brigita Dejus 2 ; Anatolijs Borodiņecs 2 and Rolands Zaharovs 3

Affiliations: 1 Information Technology, Riga Technical University, Zunda krastmala 10, Riga, Latvia ; 2 Faculty of Civil Engineering, Riga Technical University, Āzenes 6, Riga, Latvia ; 3 DTG, Ltd., Ganību dambis 24A, Riga, Latvia

Keyword(s): Predictive Sensing, Workplace Safety, Infectious Diseases, Wastewater Analysis, Organizational Data Integration.

Abstract: Interactions among employees at a workplace facilitate spread of infectious diseases. This paper proposes to integrate traditional IoT sensor data, wastewater analysis and data from organizational information systems for timely identification of threats and adjustment of work activities. The overall approach combining predictive, preventive and prescriptive capabilities is described as well as the overall technical solution is presented. The proposed approach allows tailoring of work activities depending on macro and micro monitoring results in a non-intrusive manner.

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Paper citation in several formats:
Grabis, J.; Dreimane, R.; Dejus, B.; Borodiņecs, A. and Zaharovs, R. (2023). Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace. In Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-635-4; ISSN 2184-4380, SciTePress, pages 87-92. DOI: 10.5220/0011747400003399

@conference{sensornets23,
author={Jānis Grabis. and Rūta{-}Pirta Dreimane. and Brigita Dejus. and Anatolijs Borodiņecs. and Rolands Zaharovs.},
title={Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace},
booktitle={Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS},
year={2023},
pages={87-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011747400003399},
isbn={978-989-758-635-4},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS
TI - Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace
SN - 978-989-758-635-4
IS - 2184-4380
AU - Grabis, J.
AU - Dreimane, R.
AU - Dejus, B.
AU - Borodiņecs, A.
AU - Zaharovs, R.
PY - 2023
SP - 87
EP - 92
DO - 10.5220/0011747400003399
PB - SciTePress

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