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- Title
Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting.
- Authors
Alsentzer, Emily; Ballard, Sarah-Blythe; Neyra, Joan; Vera, Delphis M.; Osorio, Victor B.; Quispe, Jose; Blazes, David L.; Loayza, Luis
- Abstract
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
PERU; ELECTRONIC surveillance; ALGORITHMS; ACUTE diseases
- Publication
Emerging Infectious Diseases, 2020, Vol 26, Issue 9, p2196
- ISSN
1080-6040
- Publication type
journal article
- DOI
10.3201/eid2609.191315