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Repeated cross-sectional sero-monitoring of SARS-CoV-2 in New York City

Author

Listed:
  • Daniel Stadlbauer

    (Icahn School of Medicine at Mount Sinai)

  • Jessica Tan

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Kaijun Jiang

    (Icahn School of Medicine at Mount Sinai)

  • Matthew M. Hernandez

    (Icahn School of Medicine at Mount Sinai)

  • Shelcie Fabre

    (Icahn School of Medicine at Mount Sinai)

  • Fatima Amanat

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Catherine Teo

    (Icahn School of Medicine at Mount Sinai)

  • Guha Asthagiri Arunkumar

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Meagan McMahon

    (Icahn School of Medicine at Mount Sinai)

  • Christina Capuano

    (Icahn School of Medicine at Mount Sinai)

  • Kathryn Twyman

    (Mount Sinai Health System)

  • Jeffrey Jhang

    (Icahn School of Medicine at Mount Sinai)

  • Michael D. Nowak

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Viviana Simon

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Emilia Mia Sordillo

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Harm Bakel

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Florian Krammer

    (Icahn School of Medicine at Mount Sinai)

Abstract

In late 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first detected in China and has since caused a pandemic of coronavirus disease 2019 (COVID-19). The first case of COVID-19 in New York City was officially confirmed on 1 March 2020 followed by a severe local epidemic1. Here, to understand seroprevalence dynamics, we conduct a retrospective, repeated cross-sectional analysis of anti-SARS-CoV-2 spike antibodies in weekly intervals from the beginning of February to July 2020 using more than 10,000 plasma samples from patients at Mount Sinai Hospital in New York City. We describe the dynamics of seroprevalence in an ‘urgent care’ group, which is enriched in cases of COVID-19 during the epidemic, and a ‘routine care’ group, which more closely represents the general population. Seroprevalence increased at different rates in both groups; seropositive samples were found as early as mid-February, and levelled out at slightly above 20% in both groups after the epidemic wave subsided by the end of May. From May to July, seroprevalence remained stable, suggesting lasting antibody levels in the population. Our data suggest that SARS-CoV-2 was introduced in New York City earlier than previously documented and describe the dynamics of seroconversion over the full course of the first wave of the pandemic in a major metropolitan area.

Suggested Citation

  • Daniel Stadlbauer & Jessica Tan & Kaijun Jiang & Matthew M. Hernandez & Shelcie Fabre & Fatima Amanat & Catherine Teo & Guha Asthagiri Arunkumar & Meagan McMahon & Christina Capuano & Kathryn Twyman &, 2021. "Repeated cross-sectional sero-monitoring of SARS-CoV-2 in New York City," Nature, Nature, vol. 590(7844), pages 146-150, February.
  • Handle: RePEc:nat:nature:v:590:y:2021:i:7844:d:10.1038_s41586-020-2912-6
    DOI: 10.1038/s41586-020-2912-6
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    Cited by:

    1. Yinon Bar-On & Tatiana Baron & Ofer Cornfeld & Ron Milo & Eran Yashiv, 2020. "COVID19: Erroneous Modelling and Its Policy Implications," Discussion Papers 2030, Centre for Macroeconomics (CFM).

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