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...
| 出版年: | PLoS Pathogens |
|---|---|
| 主要な著者: | , , , , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Public Library of Science (PLoS)
2014-02-01
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| オンライン・アクセス: | https://doi.org/10.1371/journal.ppat.1003932 |
