Volume 27, Number 5—May 2021
Dispatch
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, and Martin Kulldorff
, Eric R. Peterson, Dominique Balan, Lucretia Jones, Gretchen M. Culp, Annie D. Fine, and Martin Kulldorff
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 |
|---|---|---|---|---|---|---|---|---|---|
| 7 |
Jun 17–19 |
Jun 22 |
0.6 |
6 |
4.0 |
1 |
2.2 |
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 (https://www.satscan.org) study period and the detection date.
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