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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