Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City Region.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
19 Aug 2020
19 Aug 2020
Historique:
pubmed:
9
6
2020
medline:
9
6
2020
entrez:
9
6
2020
Statut:
epublish
Résumé
Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in Spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.
Identifiants
pubmed: 32511587
doi: 10.1101/2020.04.15.20064931
pmc: PMC7276014
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : UM1 AI148574
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA016087
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM119703
Pays : United States
Commentaires et corrections
Type : UpdateIn
Déclaration de conflit d'intérêts
Competing interest statement The authors declare no competing interests.