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Bayesian phylogeography is a framework that has enabled researchers to model the spatiotemporal diffusion of pathogens. In general, the framework assumes that discrete geographic sampling traits follow a continuous-time Markov

Bayesian phylogeography is a framework that has enabled researchers to model the spatiotemporal diffusion of pathogens. In general, the framework assumes that discrete geographic sampling traits follow a continuous-time Markov chain process along the branches of an unknown phylogeny that is informed through nucleotide sequence data. Recently, this framework has been extended to model the transition rate matrix between discrete states as a generalized linear model (GLM) of predictors of interest to the pathogen.

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    Date Created
    • 2017
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  • Text
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    • Partial requirement for: Ph.D., Arizona State University, 2017
      Note type
      thesis
    • Includes bibliographical references (pages 109-117)
      Note type
      bibliography
    • Field of study: Biomedical informatics

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    by Daniel Magee

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