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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Centers for Disease Control and Prevention
2016-10-01
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| Series: | Emerging Infectious Diseases |
| Subjects: | |
| Online Access: | https://wwwnc.cdc.gov/eid/article/22/10/16-0097_article |
| _version_ | 1811234750088609792 |
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| author | Sharon K. Greene Eric R. Peterson Deborah Kapell Annie D. Fine Martin Kulldorff |
| author_facet | Sharon K. Greene Eric R. Peterson Deborah Kapell Annie D. Fine Martin Kulldorff |
| author_sort | Sharon K. Greene |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-12T11:41:03Z |
| format | Article |
| id | doaj.art-a035c252b4c1488f945883c0c26d3614 |
| institution | Directory Open Access Journal |
| issn | 1080-6040 1080-6059 |
| language | English |
| last_indexed | 2024-04-12T11:41:03Z |
| publishDate | 2016-10-01 |
| publisher | Centers for Disease Control and Prevention |
| record_format | Article |
| series | Emerging Infectious Diseases |
| spelling | doaj.art-a035c252b4c1488f945883c0c26d36142022-12-22T03:34:37ZengCenters 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 |
| 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 |
| 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 | communicable diseases disease clustering outbreaks detection epidemiology surveillance |
| url | https://wwwnc.cdc.gov/eid/article/22/10/16-0097_article |
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