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

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.

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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/c2381eec2b0b41a3b2e74c1f98a55695
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