Detecting Emerging COVID-19 Community Outbreaks at High Spatiotemporal Resolution — New York City, June–July 2020

  1. Sharon K. Greene
  2. Eric R. Peterson
  3. Dominique Balan
  4. Lucretia Jones
  5. Gretchen M. Culp
  6. Annie D. Fine
  7. Martin Kulldorff
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Abstract

New York City’s Health Department developed a SARS-CoV-2 percent test positivity cluster detection system using census tract resolution and the SaTScan prospective space-time scan statistic. One cluster led to identifying a gathering with inadequate social distancing where viral transmission likely occurred, and another cluster prompted targeted community testing and outreach.

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