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

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.

Abstract licence: CC BY

1. 4.

   A Space–Time Permutation Scan Statistic for Disease Outbreak Detection · 2005

2. 10.

   Clusters of Coronavirus Disease in Communities, Japan, January–April 2020 · 2020

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