Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June-July 2020.
2019 novel coronavirus disease
COVID-19
New York
New York City
SARS-CoV-2
USA
community outreach
contact tracing
coronavirus disease
disease outbreaks
epidemiology
geographic mapping
public health surveillance
respiratory infections
severe acute respiratory syndrome coronavirus 2
space-time clustering
viruses
zoonoses
Journal
Emerging infectious diseases
ISSN: 1080-6059
Titre abrégé: Emerg Infect Dis
Pays: United States
ID NLM: 9508155
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
entrez:
26
4
2021
pubmed:
27
4
2021
medline:
22
6
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33900181
doi: 10.3201/eid2705.203583
pmc: PMC8084513
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
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