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

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 69)


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.


infectious diseases RFID wearable sensors mixing patterns 


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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2011

Authors and Affiliations

  1. 1.Centre de Physique Théorique (UMR CNRS 6207)MarseilleFrance
  2. 2.Complex Networks and Systems GroupInstitute for Scientific Interchange (ISI) FoundationTurinItaly
  3. 3.Ospedale Pediatrico Bambino GesùRomeItaly
  4. 4.National Center for Epidemiology, Surveillance and Health PromotionIstituto Superiore di SanitáRomeItaly

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