Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015

Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015

Each day, the New York City Department of Health and Mental Hygiene uses the free SaTScan software to apply prospective space–time permutation scan statistics to strengthen early outbreak detection for 35 reportable diseases. This method prompted early detection of outbreaks of community-acquired le...

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Bibliographic Details
Main Authors: Sharon K. Greene, Eric R. Peterson, Deborah Kapell, Annie D. Fine, Martin Kulldorff
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2016-10-01
Series:Emerging Infectious Diseases
Subjects:
communicable diseases
disease clustering
outbreaks
detection
epidemiology
surveillance
Online Access:https://wwwnc.cdc.gov/eid/article/22/10/16-0097_article
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spelling doaj-a035c252b4c1488f945883c0c26d36142020-11-24T23:34:47ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592016-10-0122101808181210.3201/eid2210.160097Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015Sharon K. GreeneEric R. PetersonDeborah KapellAnnie D. FineMartin KulldorffEach day, the New York City Department of Health and Mental Hygiene uses the free SaTScan software to apply prospective space–time permutation scan statistics to strengthen early outbreak detection for 35 reportable diseases. This method prompted early detection of outbreaks of community-acquired legionellosis and shigellosis.https://wwwnc.cdc.gov/eid/article/22/10/16-0097_articlecommunicable diseasesdisease clusteringoutbreaksdetectionepidemiologysurveillance
collection DOAJ
language English
format Article
sources DOAJ
author Sharon K. Greene
Eric R. Peterson
Deborah Kapell
Annie D. Fine
Martin Kulldorff
spellingShingle Sharon K. Greene
Eric R. Peterson
Deborah Kapell
Annie D. Fine
Martin Kulldorff
Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015
Emerging Infectious Diseases
communicable diseases
disease clustering
outbreaks
detection
epidemiology
surveillance
author_facet Sharon K. Greene
Eric R. Peterson
Deborah Kapell
Annie D. Fine
Martin Kulldorff
author_sort Sharon K. Greene
title Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015
title_short Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015
title_full Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015
title_fullStr Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015
title_full_unstemmed Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015
title_sort daily reportable disease spatiotemporal cluster detection, new york city, new york, usa, 2014–2015
publisher Centers for Disease Control and Prevention
series Emerging Infectious Diseases
issn 1080-6040
1080-6059
publishDate 2016-10-01
description Each day, the New York City Department of Health and Mental Hygiene uses the free SaTScan software to apply prospective space–time permutation scan statistics to strengthen early outbreak detection for 35 reportable diseases. This method prompted early detection of outbreaks of community-acquired legionellosis and shigellosis.
topic communicable diseases
disease clustering
outbreaks
detection
epidemiology
surveillance
url https://wwwnc.cdc.gov/eid/article/22/10/16-0097_article
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