Detecting COVID-19 clusters at high spatiotemporal resolution, New York City, New York, USA, June-July 2020

18Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Greene, S. K., Peterson, E. R., Balan, D., Jones, L., Culp, G. M., Fine, A. D., & Kulldorff, M. (2021). Detecting COVID-19 clusters at high spatiotemporal resolution, New York City, New York, USA, June-July 2020. Emerging Infectious Diseases, 27(5), 1500–1504. https://doi.org/10.3201/eid2705.203583

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free