Bayesian phylogeography of influenza A/H3N2 for the 2014-15 season in the United States using three frameworks of ancestral state reconstruction

Ancestral state reconstructions in Bayesian phylogeography of virus pandemics have been improved by utilizing a Bayesian stochastic search variable selection (BSSVS) framework. Recently, this framework has been extended to model the transition rate matrix between discrete states as a generalized lin...

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Veröffentlicht in:	PLoS computational biology 2017-02, Vol.13 (2), p.e1005389-e1005389
Hauptverfasser:	Magee, Daniel, Suchard, Marc A, Scotch, Matthew
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Air travel Bayes Theorem Bayesian analysis Biology and Life Sciences Colleges & universities Computer and Information Sciences Computer Simulation Disease Outbreaks Earth Sciences Ecology and Environmental Sciences Evolution, Molecular Funding Generalized linear models Genetic aspects Genetic Variation - genetics Glycoproteins Health aspects Humans Immunization Incidence Influenza Influenza A Virus, H3N2 Subtype - genetics Influenza A Virus, H3N2 Subtype - isolation & purification Influenza viruses Influenza, Human - epidemiology Influenza, Human - virology Informatics Medicine and Health Sciences Methods Models, Statistical Phylogeny Phylogeography Phylogeography - methods Population density Population Surveillance Precipitation Probability Researchers Risk Factors Seasons Spatio-Temporal Analysis Species Specificity Trends United States - epidemiology Viruses Weather
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