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

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作者： Maylis,Layan ^[1] ; Nicola F,Müller ^[2] ; Simon,Dellicour ^[3] ; Nicola,De Maio ^[4] ; Hervé,Bourhy ^[5] ; Simon,Cauchemez ^[6] ; Guy,Baele ^[7]

作者单位： Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR2000, CNRS, 25-28 rue du Docteur Roux, Paris 75014, France. ^[1] Collège Doctoral, Sorbonne Université, 21, rue de l'école de médecine, Paris 75006, France. ^[2] Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109, USA. ^[3] Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles CP 264/03, Avenue F. Roosevelt 50, Brussels 1050, Belgium. ^[4] Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Herestraat 49, Leuven 3000, Belgium. ^[5] European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK. ^[6] Lyssavirus Epidemiology and Neuropathology Unit, Institut Pasteur, Université Paris Cité, 25-28 rue du Docteur Roux, Paris 75014, France. ^[7] WHO Collaborating Centre for Reference and Research on Rabies, Institut Pasteur, Université Paris Cité, 28 rue du Docteur Roux, Paris 75724, France. ^[8]

关键词 BASTA Bayesian phylogeographic inference CTMC MASCOT Markov chain monte carlo pathogen spread phylogeography sampling bias

DOI 10.1093/ve/vead010

PMID 36860641

发布时间 2023-04-12

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

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

Virus evolution

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Virus evolution

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