Imperial College London
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Professor Nuno R. Faria

Faculty of Medicine, School of Public Health

Professor in Virus Genomic Epidemiology
 
 
 
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Contact

 

+44 (0)20 7594 3560n.faria

 
 
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Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Dellicour:2021:molbev/msaa284,
author = {Dellicour, S and Durkin, K and Hong, SL and Vanmechelen, B and Martí-Carreras, J and Gill, MS and Meex, C and Bontems, S and André, E and Gilbert, M and Walker, C and De, Maio N and Faria, NR and Hadfield, J and Hayette, M-P and Bours, V and Wawina-Bokalanga, T and Artesi, M and Baele, G and Maes, P},
doi = {molbev/msaa284},
journal = {Molecular Biology and Evolution},
pages = {1608--1613},
title = {A phylodynamic workflow to rapidly gain insights into the dispersal history and dynamics of SARS-CoV-2 lineages},
url = {http://dx.doi.org/10.1093/molbev/msaa284},
volume = {38},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Dellicour,S
AU  - Durkin,K
AU  - Hong,SL
AU  - Vanmechelen,B
AU  - Martí-Carreras,J
AU  - Gill,MS
AU  - Meex,C
AU  - Bontems,S
AU  - André,E
AU  - Gilbert,M
AU  - Walker,C
AU  - De,Maio N
AU  - Faria,NR
AU  - Hadfield,J
AU  - Hayette,M-P
AU  - Bours,V
AU  - Wawina-Bokalanga,T
AU  - Artesi,M
AU  - Baele,G
AU  - Maes,P
DO  - molbev/msaa284
EP  - 1613
PY  - 2021///
SN  - 0737-4038
SP  - 1608
TI  - A phylodynamic workflow to rapidly gain insights into the dispersal history and dynamics of SARS-CoV-2 lineages
T2  - Molecular Biology and Evolution
UR  - http://dx.doi.org/10.1093/molbev/msaa284
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33316043
UR  - https://academic.oup.com/mbe/advance-article/doi/10.1093/molbev/msaa284/5952687
UR  - http://hdl.handle.net/10044/1/85658
VL  - 38
ER  -
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