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

Autor:	Sharon K. Greene, Eric R. Peterson, Dominique Balan, Lucretia Jones, Gretchen M. Culp, Annie D. Fine, Martin Kulldorff
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	2019 novel coronavirus disease coronavirus disease COVID-19 severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 viruses Medicine Infectious and parasitic diseases RC109-216
Zdroj:	Emerging Infectious Diseases, Vol 27, Iss 5, Pp 1500-1504 (2021)
Druh dokumentu:	article
ISSN:	1080-6040 1080-6059
DOI:	10.3201/eid2705.203583
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/56870394ffd2442eacec1a5894117afe Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF