Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace

Jānis Grabis, Rūta-Pirta Dreimane, Brigita Dejus, Anatolijs Borodiņecs, Rolands Zaharovs

2023

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.

Paper Citation

in Harvard Style

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 - Volume 1: SENSORNETS, ISBN 978-989-758-635-4, pages 87-92. DOI: 10.5220/0011747400003399

in Bibtex Style

@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 - Volume 1: SENSORNETS,},
year={2023},
pages={87-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011747400003399},
isbn={978-989-758-635-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace
SN - 978-989-758-635-4
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