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Commuter Mobility and the Spread of Infectious Diseases: Application to Influenza in France

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  • Segolene Charaudeau
  • Khashayar Pakdaman
  • Pierre-Yves Boëlle

Abstract

Commuting data is increasingly used to describe population mobility in epidemic models. However, there is little evidence that the spatial spread of observed epidemics agrees with commuting. Here, using data from 25 epidemics for influenza-like illness in France (ILI) as seen by the Sentinelles network, we show that commuting volume is highly correlated with the spread of ILI. Next, we provide a systematic analysis of the spread of epidemics using commuting data in a mathematical model. We extract typical paths in the initial spread, related to the organization of the commuting network. These findings suggest that an alternative geographic distribution of GP accross France to the current one could be proposed. Finally, we show that change in commuting according to age (school or work commuting) impacts epidemic spread, and should be taken into account in realistic models.

Suggested Citation

  • Segolene Charaudeau & Khashayar Pakdaman & Pierre-Yves Boëlle, 2014. "Commuter Mobility and the Spread of Infectious Diseases: Application to Influenza in France," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
    • Handle: RePEc:plo:pone00:0083002
    DOI: 10.1371/journal.pone.0083002
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    References listed on IDEAS

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    1. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    2. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
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    Cited by:

    1. Elizabeth C Lee & Ali Arab & Sandra M Goldlust & Cécile Viboud & Bryan T Grenfell & Shweta Bansal, 2018. "Deploying digital health data to optimize influenza surveillance at national and local scales," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-23, March.
    2. Michele Tizzoni & Paolo Bajardi & Adeline Decuyper & Guillaume Kon Kam King & Christian M Schneider & Vincent Blondel & Zbigniew Smoreda & Marta C González & Vittoria Colizza, 2014. "On the Use of Human Mobility Proxies for Modeling Epidemics," PLOS Computational Biology, Public Library of Science, vol. 10(7), pages 1-15, July.

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