Advertisement

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

  • Alain Barrat
  • Ciro Cattuto
  • Vittoria Colizza
  • Lorenzo Isella
  • Caterina Rizzo
  • Alberto E. Tozzi
  • Wouter Van den Broeck
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 69)

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 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Wallinga, J., Teunis, P., Kretzschmar, M.: Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. Am. Journal of Epidemiollogy 164, 936–944 (2006)CrossRefGoogle Scholar
  2. 2.
    Mossong, J., Hens, N., Jit, M., Beutels, P., Auranen, K., et al.: Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases. PLoS Med. 5(3), e74 (2008)CrossRefGoogle Scholar
  3. 3.
    Hui, P., et al.: Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking, Philadelphia, Pennsylvania, USA, pp. 244–251 (2005)Google Scholar
  4. 4.
    O’Neill, E., et al.: Instrumenting the city: Developing methods for observing and understanding the digital cityscape. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 315–332. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  5. 5.
    Pentland, A.: Honest Signals: how they shape our world. MIT Press, Cambridge (2008)Google Scholar
  6. 6.
    Olguin, D., Gloor, P.A., Pentland, A.: Wearable sensors for pervasive healthcare managment. In: 3rd International Conference on Pervasive Computing Technologies for Healthcare, London, UK (2009)Google Scholar
  7. 7.
    Cattuto, C., et al.: Dynamics of person-to-person interactions from distributed RFID sensor networks. PLoS ONE 5(7), e11596 (2010)CrossRefGoogle Scholar
  8. 8.
    Alani, H., et al.: Live social semantics. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 698–714. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  9. 9.
    Van den Broeck, W., et al.: Proceedings of the 8th Annual IEEE International Conference on Pervasive Computing and Communications, Mannheim, Germany, pp. 226–231 (2010)Google Scholar
  10. 10.
    Special issue of Science on Complex networks and systems. Science 325, 357–504 (2009)Google Scholar
  11. 11.
    Barrat, A., Barthélemy, M., Vespignani, A.: Dynamical processes on complex networks. Cambridge University Press, Cambridge (2008)CrossRefzbMATHGoogle Scholar
  12. 12.

Copyright information

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

Authors and Affiliations

  • Alain Barrat
    • 1
    • 2
  • Ciro Cattuto
    • 2
  • Vittoria Colizza
    • 2
  • Lorenzo Isella
    • 2
  • Caterina Rizzo
    • 4
  • Alberto E. Tozzi
    • 3
  • Wouter Van den Broeck
    • 2
  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

Personalised recommendations