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

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

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

Emerg Infect Dis

Published: May 2021

A surveillance system identified clusters of rising COVID-19 positivity rates in New York City using detailed geographic data.
One cluster was linked to a specific social gathering where attendees tested positive.
Another cluster prompted focused testing and outreach efforts to control the spread.

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.

Download full-text PDF	Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084513	PMC
http://dx.doi.org/10.3201/eid2705.203583	DOI Listing

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