Nature Communications (Jun 2021)

Citywide serosurveillance of the initial SARS-CoV-2 outbreak in San Francisco using electronic health records

  • Isobel Routledge,
  • Adrienne Epstein,
  • Saki Takahashi,
  • Owen Janson,
  • Jill Hakim,
  • Elias Duarte,
  • Keirstinne Turcios,
  • Joanna Vinden,
  • Kirk Sujishi,
  • Jesus Rangel,
  • Marcelina Coh,
  • Lee Besana,
  • Wai-Kit Ho,
  • Ching-Ying Oon,
  • Chui Mei Ong,
  • Cassandra Yun,
  • Kara Lynch,
  • Alan H. B. Wu,
  • Wesley Wu,
  • William Karlon,
  • Edward Thornborrow,
  • Michael J. Peluso,
  • Timothy J. Henrich,
  • John E. Pak,
  • Jessica Briggs,
  • Bryan Greenhouse,
  • Isabel Rodriguez-Barraquer

DOI
https://doi.org/10.1038/s41467-021-23651-6
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 9

Abstract

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Population-based surveys are the gold standard for estimating seroprevalence but are expensive and often only capture a small geographic area or window of time. This study describes a new platform, SCALE-IT, for serosurveillance based on algorithmic sampling of electronic health records, and uses it to estimate the seroprevalence of SARS-CoV-2 in San Francisco.