Impact and mitigation of sampling bias to determine viral spread: Evaluating discrete phylogeography through CTMC modeling and structured coalescent model approximations

Bayesian phylogeographic inference is a powerful tool in molecular epidemiological studies, which enables reconstruction of the origin and subsequent geographic spread of pathogens. Such inference is, however, potentially affected by geographic sampling bias. Here, we investigated the impact of samp...

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Detalles Bibliográficos
Autores principales: Layan, Maylis, Müller, Nicola F, Dellicour, Simon, De Maio, Nicola, Bourhy, Hervé, Cauchemez, Simon, Baele, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969415/
https://www.ncbi.nlm.nih.gov/pubmed/36860641
http://dx.doi.org/10.1093/ve/vead010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969415/
https://www.ncbi.nlm.nih.gov/pubmed/36860641
http://dx.doi.org/10.1093/ve/vead010

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