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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| Auteurs principaux: | , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2014
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/b1ff4becd42c480cb05214b14b6d3fcf |
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