Abstract—In recent years, syndrome surveillance systems have become crucial in preventing emerging infectious diseases and bioterrorism attacks in many nations. Syndrome surveillance collects large amounts of prodromal-phase symptoms. After data mining, processing, and analyzing, the obtained information is used for the early detection of outbreaks. Such systems require knowledge of epidemiological factors, syndromic grouping, and outbreak detection models. Therefore, this study proposes a set of electronic medical records based on open syndrome detection systems to cope with a flexible combination of detection algorithms. These records can show visual alerts and provide notifications for investigators to immediately grasp the epidemic prevalence and adopt appropriate preventive measures.

Index Terms—syndrome surveillance, early outbreak detection, emerging infectious disease, electronic medical record

Cite: Johnson Chao-Sheng Huang, Joseph Kwong-Leung Yu, and Yau-Hwang Kuo, "A Flexible Syndromic Surveillance and Outbreak Detection Feedback System," Journal of Medical and Bioengineering, Vol. 6, No. 1, pp. 6-10, June 2017. doi: 10.18178/jomb.6.1.6-10