Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015

Autor: Annie D. Fine, Eric R. Peterson, Sharon K. Greene, Deborah Kapell, Martin Kulldorff
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Gerontology
Male
Statistics as Topic
detection
lcsh:Medicine
communicable diseases
Disease
disease clustering
Disease Outbreaks
0302 clinical medicine
Epidemiology
Medicine
Daily Reportable Disease Spatiotemporal Cluster Detection
New York City
New York
USA
2014–2015
030212 general & internal medicine
bacteria
Child
Aged
80 and over
Dispatch
Middle Aged
3. Good health
Infectious Diseases
outbreaks
Child
Preschool
Population Surveillance
Space-Time Clustering
Disease Notification
surveillance
epidemiology
Female
Microbiology (medical)
Adult
Shigellosis
medicine.medical_specialty
Adolescent
030231 tropical medicine
New York
Early detection
Legionella
Disease cluster
shigellosis
lcsh:Infectious and parasitic diseases
03 medical and health sciences
Young Adult
Environmental health
Mental hygiene
Humans
lcsh:RC109-216
USA
Aged
Dysentery
Bacillary
Legionellosis
business.industry
lcsh:R
Infant
Newborn
Outbreak
Infant
medicine.disease
zoonoses
foodborne diseases
Communicable Disease Control
New York City
Shigella
business
Zdroj: Emerging Infectious Diseases
Emerging Infectious Diseases, Vol 22, Iss 10, Pp 1808-1812 (2016)
ISSN: 1080-6059
1080-6040
Popis: 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.
Databáze: OpenAIRE
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