Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2

Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2

Spatiotemporal sampling gaps in existing pathogen genomic data limits their use in understanding epidemiological patterns. Here, the authors apply a phylogeographic approach with SARS-CoV-2 genomes to accurately reproduce pathogen spread by accounting for spatial biases and travel history of the ind...

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Bibliographic Details
Main Authors: Philippe Lemey, Samuel L. Hong, Verity Hill, Guy Baele, Chiara Poletto, Vittoria Colizza, Áine O’Toole, John T. McCrone, Kristian G. Andersen, Michael Worobey, Martha I. Nelson, Andrew Rambaut, Marc A. Suchard
Format: Article
Language:English
Published: Nature Publishing Group 2020-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-18877-9

Internet

https://doi.org/10.1038/s41467-020-18877-9

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