@article{Maurano01122020,
author = {Maurano, Matthew T. and Ramaswami, Sitharam and Zappile, Paul and Dimartino, Dacia and Boytard, Ludovic and Ribeiro-dos-Santos, André M. and Vulpescu, Nicholas A. and Westby, Gael and Shen, Guomiao and Feng, Xiaojun and Hogan, Megan S. and Ragonnet-Cronin, Manon and Geidelberg, Lily and Marier, Christian and Meyn, Peter and Zhang, Yutong and Cadley, John and Ordoñez, Raquel and Luther, Raven and Huang, Emily and Guzman, Emily and Arguelles-Grande, Carolina and Argyropoulos, Kimon V. and Black, Margaret and Serrano, Antonio and Call, Melissa E. and Kim, Min Jae and Belovarac, Brendan and Gindin, Tatyana and Lytle, Andrew and Pinnell, Jared and Vougiouklakis, Theodore and Chen, John and Lin, Lawrence H. and Rapkiewicz, Amy and Raabe, Vanessa and Samanovic, Marie I. and Jour, George and Osman, Iman and Aguero-Rosenfeld, Maria and Mulligan, Mark J. and Volz, Erik M. and Cotzia, Paolo and Snuderl, Matija and Heguy, Adriana}, 
title = {Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City region},
volume = {30}, 
number = {12}, 
pages = {1781-1788}, 
year = {2020}, 
doi = {10.1101/gr.266676.120}, 
abstract ={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.}, 
URL = {http://genome.cshlp.org/content/30/12/1781.abstract}, 
eprint = {http://genome.cshlp.org/content/30/12/1781.full.pdf+html}, 
journal = {Genome Research} 
}