Nature Communications (Dec 2017)

Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics

  • Amy Wesolowski,
  • Elisabeth zu Erbach-Schoenberg,
  • Andrew J. Tatem,
  • Christopher Lourenço,
  • Cecile Viboud,
  • Vivek Charu,
  • Nathan Eagle,
  • Kenth Engø-Monsen,
  • Taimur Qureshi,
  • Caroline O. Buckee,
  • C. J. E. Metcalf

DOI
https://doi.org/10.1038/s41467-017-02064-4
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 9

Abstract

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Fine scale mobile phone data is improving capacity to understand seasonal patterns in human movement. Here, the authors use multi-year movement data across three nations, as well as a model of pathogen spread, to understand the consequences of seasonal travel for disease dynamics.