title: Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014-2015.
abstract: 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.
authors.forename: Sharon K
authors.initials: SK
authors.lastname: Greene
authors.forename: Eric R
authors.initials: ER
authors.lastname: Peterson
authors.forename: Deborah
authors.initials: D
authors.lastname: Kapell
authors.forename: Annie D
authors.initials: AD
authors.lastname: Fine
authors.forename: Martin
authors.initials: M
authors.lastname: Kulldorff
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D003140:Communicable Disease Control / Q000379:methods*; D018563:Disease Notification; D004196:Disease Outbreaks / Q000517:prevention & control*; D004405:Dysentery, Bacillary / Q000453:epidemiology; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007876:Legionellosis / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D009519:New York City / Q000453:epidemiology; D011159:Population Surveillance; D013029:Space-Time Clustering; D013223:Statistics as Topic; D055815:Young Adult
keywords: Legionella; New York; New York City; Shigella; USA; bacteria; communicable diseases; detection; disease clustering; epidemiology; foodborne diseases; legionellosis; outbreaks; shigellosis; surveillance; zoonoses