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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Centers for Disease Control and Prevention
2021-05-01
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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. |
first_indexed | 2024-12-20T09:18:49Z |
format | Article |
id | doaj.art-56870394ffd2442eacec1a5894117afe |
institution | Directory Open Access Journal |
issn | 1080-6040 1080-6059 |
language | English |
last_indexed | 2024-12-20T09:18:49Z |
publishDate | 2021-05-01 |
publisher | Centers for Disease Control and Prevention |
record_format | Article |
series | Emerging Infectious Diseases |
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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