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: Alsentzer E, Ballard SB, Neyra J, Vera DM, Osorio VB, Quispe J, Blazes DL, Loayza L Tags: Emerg Infect Dis Source Type: research