Epidemiological hypothesis testing using a phylogeographic and phylodynamic framework

Epidemiological hypothesis testing using a phylogeographic and phylodynamic framework

Classical epidemiological approaches have been limited in their ability to formally test hypotheses. Here, Dellicour et al. illustrate how phylodynamic and phylogeographic analyses can be leveraged for hypothesis testing in molecular epidemiology using West Nile virus in North America as an example.

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Bibliographic Details
Main Authors: Simon Dellicour, Sebastian Lequime, Bram Vrancken, Mandev S. Gill, Paul Bastide, Karthik Gangavarapu, Nathaniel L. Matteson, Yi Tan, Louis du Plessis, Alexander A. Fisher, Martha I. Nelson, Marius Gilbert, Marc A. Suchard, Kristian G. Andersen, Nathan D. Grubaugh, Oliver G. Pybus, Philippe Lemey
Format: article
Language:EN
Published: Nature Portfolio 2020
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Science
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Online Access:https://doaj.org/article/034b011214474575a5f47f436fad92f5
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Summary:Classical epidemiological approaches have been limited in their ability to formally test hypotheses. Here, Dellicour et al. illustrate how phylodynamic and phylogeographic analyses can be leveraged for hypothesis testing in molecular epidemiology using West Nile virus in North America as an example.

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