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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Detalles Bibliográficos
Autores principales: Greene, Sharon K., Peterson, Eric R., Balan, Dominique, Jones, Lucretia, Culp, Gretchen M., Fine, Annie D., Kulldorff, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2021
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084513/
https://www.ncbi.nlm.nih.gov/pubmed/33900181
http://dx.doi.org/10.3201/eid2705.203583
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author Greene, Sharon K.
Peterson, Eric R.
Balan, Dominique
Jones, Lucretia
Culp, Gretchen M.
Fine, Annie D.
Kulldorff, Martin
author_facet Greene, Sharon K.
Peterson, Eric R.
Balan, Dominique
Jones, Lucretia
Culp, Gretchen M.
Fine, Annie D.
Kulldorff, Martin
author_sort Greene, Sharon K.
collection PubMed
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 pubmed-80845132021-05-11 Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020 Greene, Sharon K. Peterson, Eric R. Balan, Dominique Jones, Lucretia Culp, Gretchen M. Fine, Annie D. Kulldorff, Martin Emerg Infect Dis Dispatch 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. Centers for Disease Control and Prevention 2021-05 /pmc/articles/PMC8084513/ /pubmed/33900181 http://dx.doi.org/10.3201/eid2705.203583 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Dispatch
Greene, Sharon K.
Peterson, Eric R.
Balan, Dominique
Jones, Lucretia
Culp, Gretchen M.
Fine, Annie D.
Kulldorff, Martin
Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020
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 Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084513/
https://www.ncbi.nlm.nih.gov/pubmed/33900181
http://dx.doi.org/10.3201/eid2705.203583
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