Title
Assessing 3 outbreak detection algorithms in an electronic syndromic surveillance system in a resource-limited setting
Date Issued
01 September 2020
Access level
open access
Resource Type
journal article
Author(s)
Alsentzer E.
Osorio V.B.
Quispe J.
Blazes D.L.
Loayza L.
University of the Health Sciences
Massachusetts Institute of Technology
Naval Medical Research Unit
Publisher(s)
Centers for Disease Control and Prevention (CDC)
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%.
Start page
2196
End page
2200
Volume
26
Issue
9
Language
English
OCDE Knowledge area
Epidemiología
Salud pública, Salud ambiental
Scopus EID
2-s2.0-85089769641
PubMed ID
Source
Emerging Infectious Diseases
ISSN of the container
10806040
DOI of the container
10.3201/eid2609.191315
Sources of information:
Directorio de Producción Científica
Scopus