Accommodating sampling location uncertainty in continuous phylogeography

Author:

Dellicour Simon12ORCID,Lemey Philippe2ORCID,Suchard Marc A3ORCID,Gilbert Marius1,Baele Guy2ORCID

Affiliation:

1. Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles , CP160/12, 50 av. FD Roosevelt, Bruxelles 1050, Belgium

2. Department of Microbiology, Immunology and Transplantation, Laboratory of Clinical and Epidemiological Virology, Rega Institute, KU Leuven , Herestraat 49, Leuven 3000, Belgium

3. Department of Biostatistics, Fielding School of Public Health, and Departments of Biomathematics and Human Genetics, David Geffen School of Medicine, University of California Los Angeles , Los Angeles, CA 90095-1766, USA

Abstract

AbstractPhylogeographic inference of the dispersal history of viral lineages offers key opportunities to tackle epidemiological questions about the spread of fast-evolving pathogens across human, animal and plant populations. In continuous space, i.e. when locations are specified by longitude and latitude, these reconstructions are however often limited by the availability or accessibility of precise sampling locations required for such spatially explicit analyses. We here review the different approaches that can be considered when genomic sequences are associated with a geographic area of sampling instead of precise coordinates. In particular, we describe and compare the approaches to define homogeneous and heterogeneous prior ranges of sampling coordinates.

Funder

National Institutes of Health

European Union Horizon 2020 project MOOD

Fonds National de la Recherche Scientifique

Research Foundation - Flanders

European Research Council under the European Union’s Horizon 2020 research and innovation programme

The Wellcome Trust DBT India Alliance

Publisher

Oxford University Press (OUP)

Subject

Virology,Microbiology

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