Evidence- A sed health intelligence with globally localized epidemic knowledge base: Merging pathological data, socionvironmental data and intervention knowledge data

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2

초록

The increased prevalence and frequency of infectious diseases are alarming with respect to the disproportionate fatalities across different regions, socio-economic conditions, and demographic groups. Combining pathological data, socio-environmental data, and extracted knowledge from white papers, we proposed a Globally Localized Epidemic Knowledge base (GLEK) that can be utilized for efficient and optimal epidemic surveillance. GLEK merges social, environmental, pathological, and governmental intervention data to provide efficient advice for epidemic control and intervention. Heuristically utilizing multi-locus data sources, GLEK can identify the best tailored intervention. © 2020 The authors and IOS Press.

키워드

Applied Text AnalysisEpidemicH1N1Health InformaticsInfectious DiseaseMERSPopulation HealthRelational Epidemic SurveillanceSARS
제목
Evidence- A sed health intelligence with globally localized epidemic knowledge base: Merging pathological data, socionvironmental data and intervention knowledge data
저자
Shin, E.K.Lee, J.H.
DOI
10.3233/SHTI200482
발행일
2020
유형
Conference Paper
저널명
Studies in Health Technology and Informatics
272
페이지
17 ~ 20