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

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 s...

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Main Authors: Sharon K. Greene, Eric R. Peterson, Dominique Balan, Lucretia Jones, Gretchen M. Culp, Annie D. Fine, Martin Kulldorff
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2021-05-01
Series:Emerging Infectious Diseases
Subjects:
Online Access:https://wwwnc.cdc.gov/eid/article/27/5/20-3583_article
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author Sharon K. Greene
Eric R. Peterson
Dominique Balan
Lucretia Jones
Gretchen M. Culp
Annie D. Fine
Martin Kulldorff
author_facet Sharon K. Greene
Eric R. Peterson
Dominique Balan
Lucretia Jones
Gretchen M. Culp
Annie D. Fine
Martin Kulldorff
author_sort Sharon K. Greene
collection DOAJ
description 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.
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spelling doaj.art-56870394ffd2442eacec1a5894117afe2022-12-21T19:45:21ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592021-05-012751500150410.3201/eid2705.203583Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020Sharon K. GreeneEric R. PetersonDominique BalanLucretia JonesGretchen M. CulpAnnie D. FineMartin KulldorffA 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.https://wwwnc.cdc.gov/eid/article/27/5/20-3583_article2019 novel coronavirus diseasecoronavirus diseaseCOVID-19severe acute respiratory syndrome coronavirus 2SARS-CoV-2viruses
spellingShingle Sharon K. Greene
Eric R. Peterson
Dominique Balan
Lucretia Jones
Gretchen M. Culp
Annie D. Fine
Martin Kulldorff
Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020
Emerging Infectious Diseases
2019 novel coronavirus disease
coronavirus disease
COVID-19
severe acute respiratory syndrome coronavirus 2
SARS-CoV-2
viruses
title Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020
title_full Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020
title_fullStr Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020
title_full_unstemmed Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020
title_short Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020
title_sort detecting covid 19 clusters at high spatiotemporal resolution new york city new york usa june july 2020
topic 2019 novel coronavirus disease
coronavirus disease
COVID-19
severe acute respiratory syndrome coronavirus 2
SARS-CoV-2
viruses
url https://wwwnc.cdc.gov/eid/article/27/5/20-3583_article
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