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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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/751d2e0d5005412b87c91a9b39848023
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spelling	oai:doaj.org-article:751d2e0d5005412b87c91a9b398480232021-12-02T19:16:33ZAccommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-210.1038/s41467-020-18877-92041-1723https://doaj.org/article/751d2e0d5005412b87c91a9b398480232020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18877-9https://doaj.org/toc/2041-1723Spatiotemporal 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 individual.Philippe LemeySamuel L. HongVerity HillGuy BaeleChiara PolettoVittoria ColizzaÁine O’TooleJohn T. McCroneKristian G. AndersenMichael WorobeyMartha I. NelsonAndrew RambautMarc A. SuchardNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
description	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 individual.
format	article
author	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
author_facet	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
author_sort	Philippe Lemey
title	Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
title_short	Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
title_full	Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
title_fullStr	Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
title_full_unstemmed	Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
title_sort	accommodating individual travel history and unsampled diversity in bayesian phylogeographic inference of sars-cov-2
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/751d2e0d5005412b87c91a9b39848023
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Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2

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