Journal article
A phylodynamic workflow to rapidly gain insights into the dispersal history and dynamics of SARS-CoV-2 lineages
- Abstract:
- Since the start of the COVID-19 pandemic, an unprecedented number of genomic sequences of SARS-CoV-2 have been generated and shared with the scientific community. The unparalleled volume of available genetic data presents a unique opportunity to gain real-time insights into the virus transmission during the pandemic, but also a daunting computational hurdle if analyzed with gold-standard phylogeographic approaches. To tackle this practical limitation, we here describe and apply a rapid analytical pipeline to analyze the spatiotemporal dispersal history and dynamics of SARS-CoV-2 lineages. As a proof of concept, we focus on the Belgian epidemic, which has had one of the highest spatial densities of available SARS-CoV-2 genomes. Our pipeline has the potential to be quickly applied to other countries or regions, with key benefits in complementing epidemiological analyses in assessing the impact of intervention measures or their progressive easement.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 10.3MB, Terms of use)
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- Publisher copy:
- 10.1093/molbev/msaa284
Authors
- Publisher:
- Oxford University Press
- Journal:
- Molecular Biology and Evolution More from this journal
- Volume:
- 38
- Issue:
- 4
- Pages:
- 1608–1613
- Publication date:
- 2020-11-03
- Acceptance date:
- 2020-11-01
- DOI:
- EISSN:
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1537-1719
- ISSN:
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0737-4038
- Pmid:
-
33316043
- Language:
-
English
- Keywords:
- Pubs id:
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1160235
- Local pid:
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pubs:1160235
- Deposit date:
-
2021-02-11
Terms of use
- Copyright holder:
- Dellicour et al.
- Copyright date:
- 2020
- Rights statement:
- ©2020 The Authors. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited
- Licence:
- CC Attribution (CC BY)
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