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...
Guardado en:
Autores principales: | 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 |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
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Materias: | |
Acceso en línea: | https://doaj.org/article/b1ff4becd42c480cb05214b14b6d3fcf |
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