Login / Signup

Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City region.

Matthew T MauranoSitharam RamaswamiPaul ZappileDacia DimartinoLudovic BoytardAndré M Ribeiro-Dos-SantosNicholas A VulpescuGael WestbyGuomiao ShenXiaojun FengMegan S HoganManon Ragonnet-CroninLily GeidelbergChristian MarierPeter MeynYutong ZhangJohn CadleyRaquel OrdoñezRaven LutherEmily HuangEmily GuzmanCarolina Arguelles-GrandeKimon V ArgyropoulosMargaret BlackAntonio SerranoMelissa E CallMin Jae KimBrendan BelovaracTatyana GindinAndrew LytleJared PinnellTheodore VougiouklakisJohn ChenLawrence H LinAmy RapkiewiczVanessa RaabeMarie I SamanovicGeorge JourIman OsmanMaria Aguero-RosenfeldMark J MulliganErik M VolzPaolo CotziaMatija SnuderlAdriana Heguy
Published in: Genome research (2020)
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.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • healthcare
  • single cell
  • public health
  • mental health
  • emergency department
  • high resolution
  • gene expression
  • mass spectrometry
  • deep learning
  • clinical evaluation