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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2016
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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. |
format | Online Article Text |
id | pubmed-5038417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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