Details:

Alternative Title:
Emerg Infect Dis
Publisher's site:
http://dx.doi.org/10.3201/eid2210.160097
Personal Author:
Greene, Sharon K. ; Peterson, Eric R. ; Kapell, Deborah ; Fine, Annie D. ; Kulldorff, Martin
Greene, Sharon K. ; Peterson, Eric R. ; Kapell, Deborah ; Fine, Annie D. ; Kulldorff, Martin Less -
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.
Subject:
[+]
Adolescent
Adult
Aged
Aged, 80 And Over
Child
Child, Preschool
Communicable Disease Control/methods
Disease Notification
Disease Outbreaks/prevention & Control
Dispatch
Dysentery, Bacillary/epidemiology
Female
Humans
Infant
Infant, Newborn
Legionellosis/epidemiology
Male
Middle Aged
Population Surveillance
Space-Time Clustering
Statistics As Topic
Young Adult

Source:
Emerg Infect Dis. 22(10):1808-1812.
Pubmed ID:
27648777
Pubmed Central ID:
PMC5038417
Document Type:
Journal Article
Place as Subject:
New York City, NY
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:bcaf620146384a6fea06c80dd68dc92a205ab09da391a839b46fe18938edeca6
File Type:

Supporting Files

• 	16-0097-F.gif	gif
  	16-0097-F.jpg	jpeg
  	16-0097-Techapp-s1.pdf	pdf
  	16-0097.nxml	bin

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