Electronic Healthcare. Third International Conference, eHealth 2010, Casablanca, Morocco, December 13-15, 2010, Revised Selected Papers

Research Article

Wearable Sensor Networks for Measuring Face-to-Face Contact Patterns in Healthcare Settings

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  • @INPROCEEDINGS{10.1007/978-3-642-23635-8_24,
        author={Alain Barrat and Ciro Cattuto and Vittoria Colizza and Lorenzo Isella and Caterina Rizzo and Alberto Tozzi and Wouter Broeck},
        title={Wearable Sensor Networks for Measuring Face-to-Face Contact Patterns in Healthcare Settings},
        proceedings={Electronic Healthcare. Third International Conference, eHealth 2010, Casablanca, Morocco, December 13-15, 2010, Revised Selected Papers},
        proceedings_a={E-HEALTH},
        year={2012},
        month={10},
        keywords={infectious diseases RFID wearable sensors mixing patterns},
        doi={10.1007/978-3-642-23635-8_24}
    }
    
  • Alain Barrat
    Ciro Cattuto
    Vittoria Colizza
    Lorenzo Isella
    Caterina Rizzo
    Alberto Tozzi
    Wouter Broeck
    Year: 2012
    Wearable Sensor Networks for Measuring Face-to-Face Contact Patterns in Healthcare Settings
    E-HEALTH
    Springer
    DOI: 10.1007/978-3-642-23635-8_24
Alain Barrat, Ciro Cattuto1, Vittoria Colizza1, Lorenzo Isella1, Caterina Rizzo2, Alberto Tozzi3, Wouter Broeck1
  • 1: Institute for Scientific Interchange (ISI) Foundation
  • 2: Istituto Superiore di Sanitá
  • 3: Ospedale Pediatrico Bambino Gesù

Abstract

We describe the experimental deployment of a network of wearable sensors that allows the tracking of the location and mutual proximity of individuals in a hospital ward, in real time and at a large scale. In the course of the deployment, all individuals accessing the premises were monitored for a period of one week, including health care personnel, patients, visitors and tutors. The data collected yields a rich dynamical picture of the contact patterns between individuals and between categories of individuals. As an example, here we show that by constructing a cumulative weighted contact network aggregating the dynamical data on the entire duration of the deployment, it is possible to reliably uncover persistent relations among individuals.