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

To quickly detect hotspots, the New York City Health Department launched a SARS-CoV-2 percent positivity cluster detection system using census tract resolution and the SaTScan prospective Poisson-based space-time scan statistic. Soon after implementation, this system prompted an investigation identifying a gathering with inadequate social distancing where viral transmission likely occurred.