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

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%...

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Bibliographic Details
Main Authors: Emily Alsentzer, Sarah-Blythe Ballard, Joan Neyra, Delphis M. Vera, Victor B. Osorio, Jose Quispe, David L. Blazes, Luis Loayza
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2020-09-01
Series:Emerging Infectious Diseases
Subjects:
outbreak detection algorithms
syndromic surveillance
acute diarrheal disease
resource-limited setting
enteric infections
Online Access:https://wwwnc.cdc.gov/eid/article/26/9/19-1315_article

Internet

https://wwwnc.cdc.gov/eid/article/26/9/19-1315_article

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