Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June-July 2020.

Sharon K Greene, Eric R Peterson, Dominique Balan, Lucretia Jones, Gretchen M Culp, Annie D Fine, Martin Kulldorff
Author Information

Abstract

A surveillance system that uses census tract resolution and the SaTScan prospective space-time scan statistic detected clusters of increasing severe acute respiratory syndrome coronavirus 2 test percent positivity in New York City, NY, USA. Clusters included one in which patients attended the same social gathering and another that led to targeted testing and outreach.

Keywords

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MeSH Term

COVID-19
Humans
New York City
Prospective Studies
SARS-CoV-2

Word Cloud

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