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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.

Keywords
infectious diseases RFID wearable sensors mixing patterns
Published
2012-10-17
http://dx.doi.org/10.1007/978-3-642-23635-8_24
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