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The link stream of contacts in a whole hospital

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Abstract

We analyse a huge and very precise trace of contact data collected by a network of sensors during 6 months on the entire population of a rehabilitation hospital. We investigate both the topological structure of the average daily link stream of contacts in the hospital and the temporal structure of the evolution of these contacts hour by hour. Our main aims are to unveil striking properties of these two structures in the considered hospital, and to present a methodology that can be used for analysing any link stream where nodes are classified into groups.

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Notes

  1. More than 99% of individuals accepted to participate and registered for the experiment.

  2. The sending time of the different devices are not synchronised but their internal clocks are.

  3. Note that, because of the way we slice the time in slots of 30 s, the condition “\(t_1-t_2\) is a multiple of 30 s” holds for any \(t_1\) and for any \(t_2\) being the bound of some interval, even if they do not bound the same interval of contact.

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Acknowledgements

The authors thank all the I-Bird (Individual-Based Investigation of Resistance Dissemination) study group members.

Funding

This study was supported by the European Commission under the Life Science Health Priority of the 6th Framework Program (MOSAR network contract LSHP-CT-2007-037941). This work was performed within the framework of the LABEX MILYON (ANR-10-LABX-0070) of Université de Lyon, within the program “Investissements d’Avenir” (ANR-11-IDEX-0007) operated by the French National Research Agency (ANR). This work was performed within the framework of the LABEX IBEID (ANR-10-LABX-62). The second author gratefully acknowledges the support from a Grant from Région Rhône-Alpes and from the delegation program of CNRS.

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Authors and Affiliations

  1. Univ Lyon, ENS de Lyon, UCB Lyon 1, Inria, CNRS, LIP UMR 5668, 15 parvis René Descartes, 69342, Lyon, France

    Lucie Martinet, Christophe Crespelle & Eric Fleury

  2. Institute of Mathematics, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Hanoi, Vietnam

    Christophe Crespelle

  3. Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d’Épidemiologie et de Santé Publique, UMR S 1136, Paris, France

    Pierre-Yves Boëlle

  4. Institut Pasteur, Unité de Pharmaco-Épidémiologie et Maladies Infectieuses, INSERM, U1181, Univ. Versailles Saint Quentin, UFR des Sciences de la Santé Simone-Veil, EA 4499, Montigny-le-Bretonneux, France

    Didier Guillemot

  5. AP-HP, Hôpital Raymond-Poincaré, Unité Fonctionnelle de Santé Publique, Garches, France

    Didier Guillemot

  6. Cesi école d’ingénieur, 19 avenue Guy de Collongue, 69130, Écully, France

    Lucie Martinet

Authors
  1. Lucie Martinet
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  2. Christophe Crespelle
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  3. Eric Fleury
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  4. Pierre-Yves Boëlle
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  5. Didier Guillemot
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Corresponding author

Correspondence to Christophe Crespelle.

Additional information

This is a complete and augmented version of the extended abstract that appeared in CompleNet 2014 (Martinet et al. 2014).

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Martinet, L., Crespelle, C., Fleury, E. et al. The link stream of contacts in a whole hospital. Soc. Netw. Anal. Min. 8, 59 (2018). https://doi.org/10.1007/s13278-018-0535-9

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