Magee, Daniel <br/><br/>
Bayesian phylogeography of influenza A/H3N2 for the 2014-15 season in the United States using three frameworks of ancestral state reconstruction.  [electronic resource] 

 -  PLoS computational biology  02 2017 
 - e1005389 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1553-7358 
<br/><br/><label>Standard No.: </label>10.1371/journal.pcbi.1005389  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bayes Theorem<br/>Computer Simulation<br/>Disease Outbreaks<br/>Evolution, Molecular<br/>Genetic Variation--genetics<br/>Humans<br/>Incidence<br/>Influenza A Virus, H3N2 Subtype--genetics<br/>Influenza, Human--epidemiology<br/>Models, Statistical<br/>Phylogeny<br/>Phylogeography--methods<br/>Population Surveillance<br/>Risk Factors<br/>Seasons<br/>Spatio-Temporal Analysis<br/>Species Specificity<br/>United States--epidemiology<br/>Weather