Literature DB >> 27314655

Syndromic Surveillance System for Korea-US Joint Biosurveillance Portal: Design and Lessons Learned.

Chulwoo Rhee, Howard Burkom, Chang-Gyo Yoon, Miles Stewart, Yevgeniy Elbert, Aaron Katz, Sangwoo Tak.   

Abstract

Driven by the growing importance of situational awareness of bioterrorism threats, the Republic of Korea (ROK) and the United States have constructed a joint military capability, called the Biosurveillance Portal (BSP), to enhance biosecurity. As one component of the BSP, we developed the Military Active Real-time Syndromic Surveillance (MARSS) system to detect and track natural and deliberate disease outbreaks. This article describes the ROK military health data infrastructure and explains how syndromic data are derived and made available to epidemiologists. Queries corresponding to 8 syndromes, based on published clinical effects of weaponized pathogens, were used to classify military hospital patient records to form aggregated daily syndromic counts. A set of ICD-10 codes for each syndrome was defined through literature review and expert panel discussion. A study set of time series of national daily counts for each syndrome was extracted from the Defense Medical Statistical Information System between January 1, 2011, and May 31, 2014. A stratified, adjusted cumulative summation algorithm was implemented for each syndrome group to signal alerts prompting investigation. The algorithm was developed by calculating sensitivity to sets of 1,000 artificial outbreak signals randomly injected in the dataset, with each signal injected in a separate trial. Queries and visualizations were adapted from the Suite for Automated Global bioSurveillance. Findings indicated that early warning of outbreaks affecting fewer than 50 patients will require analysis at subnational levels, especially for common syndrome groups. Developing MARSS to improve sensitivity will require modification of underlying syndromic diagnosis codes, engineering to coordinate alerts among subdivisions, and enhanced algorithms. The bioterrorist threat in the Korean peninsula mandates these efforts.

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Year:  2016        PMID: 27314655     DOI: 10.1089/hs.2015.0067

Source DB:  PubMed          Journal:  Health Secur        ISSN: 2326-5094


  3 in total

1.  Urologic Diseases in Korean Military Population: a 6-year Epidemiological Review of Medical Records.

Authors:  Se Young Choi; Chang Gyo Yoon
Journal:  J Korean Med Sci       Date:  2017-01       Impact factor: 2.153

2.  Evaluation of User Experience of New Defense Medical Information System.

Authors:  Hyeongju Ryu; Jeongeun Kim
Journal:  Healthc Inform Res       Date:  2019-04-30

3.  Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea.

Authors:  Jaehun Jung; Jae Hyoung Im; Young-Jin Ko; Kyungmin Huh; Chang-Gyo Yoon; Chulwoo Rhee; Young-Eun Kim; Dun-Sol Go; Arim Kim; Yunsun Jung; Munkhzul Radnaabaatar; Seok-Jun Yoon
Journal:  Sci Rep       Date:  2019-06-19       Impact factor: 4.379

  3 in total

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