Browse > Article
http://dx.doi.org/10.36498/kbigdt.2020.5.2.187

Big Data based Epidemic Investigation Support System using Mobile Network Data  

Lee, Min-woo (디토닉 주식회사)
Kim, Ye-ji (디토닉 주식회사)
Yi, Jae-jin (디토닉 주식회사)
Moon, Kyu-hwan (디토닉 주식회사)
Hwang, SeonBae (디토닉 주식회사)
Jun, Yong-joo (디토닉 주식회사)
Hahm, Yu-Kun (건국대학교)
Publication Information
The Journal of Bigdata / v.5, no.2, 2020 , pp. 187-199 More about this Journal
Abstract
The World Health Organization declared COVID-19 a pandemic on March 11. South Korea recorded 27,000 cases of the coronavirus illness, and more than 50 million coronavirus cases were confirmed all over the world. An epidemiological investigation becomes important once again due to the spread of COVID-19 infections. However, there were a number of confirmed coronavirus cases from Deagu and Gyeongbuk. Limitations of the epidemiological investigation methods were recognized. The Korea Disease Control and Prevention Agency developed the Epidemiological Investigation Support System(EISS) to utilize the smart city data hub technology and utilized the system in the epidemiological investigation. As a part of EISS, The proposed system is big-data bsed epidemiological investigation support system processing mobile network data. The established system is the epidemiological investigation support system based on big data to process mobile carriers' big data. Processing abnormal values of mobile carriers' data which was impossible with existing staff or creating hotspot regions where more than two people were in contact with an infected person were realized. As a result, our system processes outlier of mobile network data in 30 seconds, while processes hotspot around in 10 minutes. as a first time to adapt and support bigdata system into epidemiological investigation, our system proposes the practical utilizability of big-data system into epidemiological investigation.
Keywords
Big Data; COVID-19; Spark; NiFi; EISS;
Citations & Related Records
연도 인용수 순위
  • Reference
1 김남순, "코로나바이러스감염증-19 현황과 과제", 한국보건사회연구원: 보건.복지 Issue & Focus, 제373호, pp. 1-13, 2020.
2 오윤경, "사회재난관리를 위한 협업체계: 코로나 19 대응 사례를 중심으로", 한국정책학회 춘계학술발표논문집, 제2020권, 제0호, pp.1-10, 2020.
3 이돈희, 이동현, "위기상황에서의 의료서비스 공정성과 지역사회 참여: COVID-19 대응 실패사례를 중심으로", 서비스경영학회지, 제21권, 제2호, pp.293-312, 2020.
4 함유근, 박현영, "질병예방을 위한 빅데이터 활용 전략", The 13th Conference on Biomedical Informatics, 대한의료정보학회, 2012.
5 허윤정, "감염병의 세계적 유행에 대응하는 빅데이터 활용", HIRA 정책동향 제14권, 제2호, pp.7-13, 2020.
6 R. Abbas and K. Michael, "COVID-19 contact trace app deployments: Learnings from Australia and Singapore." IEEE Consumer Electronics Magazine, Vol.9, No.5, pp.65-70, 2020.   DOI
7 T. Lee and H. Lee, "Tracing surveillance and auto-regulation in Singapore: 'smart' responses to COVID-19", Media International Australia, Vol.177, No.1, pp.47-60, 2020.   DOI
8 W. Raghupathi, V. Raghupathi, "Big data analytics in healthcare: promise and potential", Health Information Science Systems Vol. 2, No. 3, 2014.
9 Y. J. Park, S. Y. Cho, J. Lee, I. Lee, W. H. Park, S. Jeong, S. Kim, S. Lee, J. Kim, and O. Park, "Development and Utilization of a Rapid and Accurate Epidemic Investigation Support System for COVID-19". Osong Public Health Res Perspect, Vol..11, No.3, pp.118-127, 2020.   DOI
10 https://council.science/current/blog/setting-up-a-data-ecosystem-to-defeat-covid-19/
11 http://kafka.apache.org/
12 http://hadoop.apache.org/
13 https://nifi.apache.org/
14 http://www.seoulfocus.kr/news/articleView.html?idxno=78951
15 Z. Huang, H. Guo, Y. Lee,. M. C. Ho, H. Ang, and A. Chow, "Performance of Digital Contact Tracing Tools for COVID-19 Response in Singapore: Cross-Sectional Study", JMIR mHealth and uHealth, Vol..8, No.10, 2020.
16 http://spark.apache.org/
17 김재호, 정승명, 김성윤, "스마트시티 데이터허브 기술과 적용 사례", 한국통신학회지 제37권, 제5호, pp.3-10, 2020.
18 이지수, "[현장기자 분투기 _ 신천지] 거짓말과 코로나", 방송기자협회 제54권, pp.13-15, 2020.
19 H. K. Sytwu, "Expeditious responses to COVID-19 crisis: From governmental management to laboratory approach", Biomedical Journal, Vol.43, No.4 pp.311-313, 2020.   DOI
20 W. J. Chen, S. Y. Yang, J. C. Chang, W. C. Cheng, T. P. Lu, Y. Wang, M. Juan, R. Hsu, S. Huang, J. Tu, P. Wang, V. S. Feng and P. Chang, "Development of a semi-structured, multifaceted, computer-aided questionnaire for outbreak investigation: e-Outbreak Platform", Biomedical Journal, Vol. 43, No.4, pp.318-324, 2020.   DOI