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

Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting. Emerg Infect Dis. 2020 Sep;26(9):2196-2200 Authors: Alsentzer E, Ballard SB, Neyra J, Vera DM, Osorio VB, Quispe J, Blazes DL, Loayza L 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%. PMID: 32818406 [PubMed - in process]
Source: Emerging Infectious Diseases - Category: Infectious Diseases Authors: Tags: Emerg Infect Dis Source Type: research