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Volume 27, Number 5—May 2021

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

Sharon K. GreeneComments to Author , Eric R. Peterson, Dominique Balan, Lucretia Jones, Gretchen M. Culp, Annie D. Fine, and Martin Kulldorff
Author affiliations: New York City Department of Health and Mental Hygiene, Long Island City, New York, USA (S.K. Greene, E.R. Peterson, D. Balan, L. Jones, G.M. Culp, A.D. Fine); Harvard Medical School, Boston, Massachusetts, USA (M. Kulldorff)

Main Article

Table 2

Spatiotemporal clusters of SARS-CoV-2 test percent positivity prospectively detected and prompting public health action, New York City, NY, USA, June–July 2020*

Maximum temporal window applied, d Specimen collection date range Detection date† Radius, km Observed cases Relative risk Recurrence
interval, d SARS-CoV-2 positivity within cluster, % Median age (range), y Notes
Jun 17–19
Jun 22
40 (28–58)
Low recurrence interval; epidemiologic linkage of a gathering identified
21 Jul 5–12 Jul 15 0.6 20 3.4 55 8.9 34 (4–87) Cluster contributed to selection of area for geographically targeted testing, outreach, and education

*SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
†To account for data accrual lags, a 3-d delay was imposed between the end of the SaTScan ( study period and the detection date.

Main Article

Page created: March 09, 2021
Page updated: April 26, 2021
Page reviewed: April 26, 2021
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