Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Alsentzer, Emily ; Ballard, Sarah-Blythe ; Neyra, Joan ; Vera, Delphis M. ; Osorio, Victor B. ; Quispe, Jose ; Blazes, David L. ; Loayza, Luis
• Description:
  We evaluated the performance of X-bar chart, exponentially weighted moving average, and C3 cumulative sums aberration detection algorithms for acute diarrheal disease syndromic surveillance at naval sites in Peru during 2007-2011. The 3 algorithms' detection sensitivity was 100%, specificity was 97%-99%, and positive predictive value was 27%-46%.
• Subjects:
  Acute Diarrheal Disease Assessing 3 Outbreak Detection Algorithms In An Electronic Syndromic Surveillance System In A Resource-Limited Setting Dispatch Enteric Infections Outbreak Detection Algorithms Resource-Limited Setting Syndromic Surveillance
• Source:
  Emerg Infect Dis. 26(9):2196-2200
• Pubmed ID:
  32818406
• Pubmed Central ID:
  PMC7454051
• Document Type:
  Journal Article
• Volume:
  26
• Issue:
  9
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:e5397e5d6215dd9b3114bc8fe4bc602f1e5854681f966b6734c334d5d618d658
• Download URL:
  https://stacks.cdc.gov/view/cdc/92979/cdc_92979_DS1.pdf
• File Type:
  [PDF - 1023.09 KB ]