Genomic epidemiology of a densely sampled COVID-19 outbreak in China.
SARS-CoV-2
genetic epidemiology
modelling
phylodynamics
phylogenetics
structured coalescent
Journal
Virus evolution
ISSN: 2057-1577
Titre abrégé: Virus Evol
Pays: England
ID NLM: 101664675
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
entrez:
22
3
2021
pubmed:
23
3
2021
medline:
23
3
2021
Statut:
epublish
Résumé
Analysis of genetic sequence data from the SARS-CoV-2 pandemic can provide insights into epidemic origins, worldwide dispersal, and epidemiological history. With few exceptions, genomic epidemiological analysis has focused on geographically distributed data sets with few isolates in any given location. Here, we report an analysis of 20 whole SARS- CoV-2 genomes from a single relatively small and geographically constrained outbreak in Weifang, People's Republic of China. Using Bayesian model-based phylodynamic methods, we estimate a mean basic reproduction number (
Identifiants
pubmed: 33747543
doi: 10.1093/ve/veaa102
pii: veaa102
pmc: PMC7955981
doi:
Types de publication
Journal Article
Langues
eng
Pagination
veaa102Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press.
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