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

Emerg Infect Dis. 2016 Oct;22(10):1808-12. doi: 10.3201/eid2210.160097.

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.

Keywords: Legionella; New York; New York City; Shigella; USA; bacteria; communicable diseases; detection; disease clustering; epidemiology; foodborne diseases; legionellosis; outbreaks; shigellosis; surveillance; zoonoses.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Child, Preschool
  • Communicable Disease Control / methods*
  • Disease Notification*
  • Disease Outbreaks / prevention & control*
  • Dysentery, Bacillary / epidemiology
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Legionellosis / epidemiology
  • Male
  • Middle Aged
  • New York City / epidemiology
  • Population Surveillance*
  • Space-Time Clustering*
  • Statistics as Topic
  • Young Adult