Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2.

Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2.

Information on global human movement patterns is central to spatial epidemiological models used to predict the behavior of influenza and other infectious diseases. Yet it remains difficult to test which modes of dispersal drive pathogen spread at various geographic scales using standard epidemiologi...

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Bibliographic Details
Main Authors: Philippe Lemey, Andrew Rambaut, Trevor Bedford, Nuno Faria, Filip Bielejec, Guy Baele, Colin A Russell, Derek J Smith, Oliver G Pybus, Dirk Brockmann, Marc A Suchard
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-02-01
Series:PLoS Pathogens
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24586153/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24586153/?tool=EBI

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