Use of Control Bar Matrix for Outbreak Detection in Syndromic Surveillance System
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How to Cite

Tao, T., Zhao, Q., Cheng, H., Palm, L., Lu, X., Yuan, H., Song, X., & Xu, B. (2013). Use of Control Bar Matrix for Outbreak Detection in Syndromic Surveillance System. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4399

Abstract

This study aims to develop and test the method of control bar matrix for outbreak detection in a syndromic surveillance system (ISSC) of rural China. From the ISSC database, we extracted the historical daily number of outpatients with fever symptom reported in a township hospital surveillance unit from August 1st to December 31st as baseline data. Six different control bar algorithms (the matrix) were simultaneously run among baseline data to simulate the real-time detection. Findings showed that control bar matrix could label the alarms into hierarchical warning levels, which facilitated the signal verification and decision making in syndromic surveillance system.
https://doi.org/10.5210/ojphi.v5i1.4399
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