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
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c2381eec2b0b41a3b2e74c1f98a55695
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spelling	oai:doaj.org-article:c2381eec2b0b41a3b2e74c1f98a556952021-12-02T14:42:44ZMultinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics10.1038/s41467-017-02064-42041-1723https://doaj.org/article/c2381eec2b0b41a3b2e74c1f98a556952017-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02064-4https://doaj.org/toc/2041-1723Fine 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.Amy WesolowskiElisabeth zu Erbach-SchoenbergAndrew J. TatemChristopher LourençoCecile ViboudVivek CharuNathan EagleKenth Engø-MonsenTaimur QureshiCaroline O. BuckeeC. J. E. MetcalfNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
description	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.
format	article
author	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
author_facet	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
author_sort	Amy Wesolowski
title	Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
title_short	Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
title_full	Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
title_fullStr	Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
title_full_unstemmed	Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
title_sort	multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/c2381eec2b0b41a3b2e74c1f98a55695
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Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics

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