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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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Detalles Bibliográficos
Autores principales: Greene, Sharon K., Peterson, Eric R., Kapell, Deborah, Fine, Annie D., Kulldorff, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038417/
https://www.ncbi.nlm.nih.gov/pubmed/27648777
http://dx.doi.org/10.3201/eid2210.160097
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author Greene, Sharon K.
Peterson, Eric R.
Kapell, Deborah
Fine, Annie D.
Kulldorff, Martin
author_facet Greene, Sharon K.
Peterson, Eric R.
Kapell, Deborah
Fine, Annie D.
Kulldorff, Martin
author_sort Greene, Sharon K.
collection PubMed
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.
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spelling pubmed-50384172016-10-12 Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015 Greene, Sharon K. Peterson, Eric R. Kapell, Deborah Fine, Annie D. Kulldorff, Martin Emerg Infect Dis Dispatch 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. Centers for Disease Control and Prevention 2016-10 /pmc/articles/PMC5038417/ /pubmed/27648777 http://dx.doi.org/10.3201/eid2210.160097 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.
Kapell, Deborah
Fine, Annie D.
Kulldorff, Martin
Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015
title 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_short 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
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038417/
https://www.ncbi.nlm.nih.gov/pubmed/27648777
http://dx.doi.org/10.3201/eid2210.160097
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