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Evidence- A sed health intelligence with globally localized epidemic knowledge base: Merging pathological data, socionvironmental data and intervention knowledge data
- Shin, E.K.;
- Lee, J.H.
Citations
SCOPUS
2초록
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 Analysis; Epidemic; H1N1; Health Informatics; Infectious Disease; MERS; Population Health; Relational Epidemic Surveillance; SARS
- 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.
- 발행일
- 2020
- 유형
- Conference Paper
- 권
- 272
- 페이지
- 17 ~ 20