Litcius/Paper detail

Molecular evidence of SARS-CoV-2 in New York before the first pandemic wave

Matthew M. Hernandez, Ana S. Gonzalez‐Reiche, Hala Alshammary, Shelcie Fabre, Zenab Khan, Adriana van de Guchte, Ajay Obla, Ethan Ellis, Mitchell J. Sullivan, Jessica Tan, Bremy Alburquerque, Juan Soto, Ching-Yi Wang, Shwetha Hara Sridhar, Ying‐Chih Wang, Melissa Smith, Robert Sebra, Alberto Paniz‐Mondolfi, Melissa Gitman, Michael D. Nowak, Carlos Cordon‐Cardo, Marta Łuksza, Florian Krammer, Harm van Bakel, Viviana Simon, Emilia Mia Sordillo

2021Nature Communications24 citationsDOIOpen Access PDF

Abstract

Numerous reports document the spread of SARS-CoV-2, but there is limited information on its introduction before the identification of a local case. This may lead to incorrect assumptions when modeling viral origins and transmission. Here, we utilize a sample pooling strategy to screen for previously undetected SARS-CoV-2 in de-identified, respiratory pathogen-negative nasopharyngeal specimens from 3,040 patients across the Mount Sinai Health System in New York. The patients had been previously evaluated for respiratory symptoms or influenza-like illness during the first 10 weeks of 2020. We identify SARS-CoV-2 RNA from specimens collected as early as 25 January 2020, and complete SARS-CoV-2 genome sequences from multiple pools of samples collected between late February and early March, documenting an increase prior to the later surge. Our results provide evidence of sporadic SARS-CoV-2 infections a full month before both the first officially documented case and emergence of New York as a COVID-19 epicenter in March 2020.

Topics & Concepts

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicCoronavirus disease 2019 (COVID-19)Transmission (telecommunications)Virology2019-20 coronavirus outbreakInfluenza-like illnessMedicineBetacoronavirusPneumoniaCoronavirusBiologyRespiratory illnessVirusOutbreakRespiratory systemDiseaseInfectious disease (medical specialty)PathologyInternal medicineEngineeringElectrical engineeringSARS-CoV-2 and COVID-19 ResearchRespiratory viral infections researchCOVID-19 diagnosis using AI