The response of A.I systems in other countries to Corona Virus (COVID-19) Infections: E-Government, Policy, A.I utilizing cases
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Outbreak of COVID-19 originated from China resulted significantly high casualties and social and economic damages. Currently the major countries see importance of accurate prediction of originating trend to prevent the spread of infectious disease and AI is actively utilized when establishing the system. Therefore this study has comprehended the status of utilizing the AI in overseas and made comparison and analysis with domestic status. It derived the necessity to establish national control tower based on One Health to respond to infectious disease to effectively utilize AI and suggested to establish higher organization, Medical Big Data Governance, to respond to the infectious disease. It is necessary to conduct further study to utilize the results and suggestions derived from this study into the policy and if the suggestions are reflected to improve institutional imperfection, it will be positively used for prevention of the spreading infectious disease and utilizing medical Big Data.
Abstract
Outbreak of COVID-19 originated from China resulted significantly high casualties and social and economic damages. Currently the major countries see importance of accurate prediction of originating trend to prevent the spread of infectious disease and AI is actively utilized when establishing the system. Therefore this study has comprehended the status of utilizing the AI in overseas and made comparison and analysis with domestic status. It derived the necessity to establish national control tower based on One Health to respond to infectious disease to effectively utilize AI and suggested to establish higher organization, Medical Big Data Governance, to respond to the infectious disease. It is necessary to conduct further study to utilize the results and suggestions derived from this study into the policy and if the suggestions are reflected to improve institutional imperfection, it will be positively used for prevention of the spreading infectious disease and utilizing medical Big Data.
참고문헌 (37)
- Trend of domestic and overseas infectious disease prevention and respond, "D. E. Lee", KHIDI, ~ (2017)
- "Korea Center for Disease Control and Prevention. KCDC"[URL]
- "Abusing ‘Saeweolho crisis’ toattack government for ‘COVID-19’" (2020)[URL]
- [URL]
- J. H. Bae, "Status and future task issues and discussion for COVID-19 respond system #1656", National Assembly Legislative Survey., ~ (2020)
- "103 countries restricted entering from Korea…more than half of the world. J. Y. Park. (2020.3.7.)" (2020)[URL]
- "WHO, announced epidemic for COVID-19..”Can be controlled”" (2020)[URL]
- "Major cases of ’COVID-19‘ group infection"[URL]
- "Responding to COVID-19 and blockchain Hangyoraecolumn" (2020)[URL]
- "Korea’s ability to test COVID-19, US and Japan should learn from Korea" (2020)[URL]
- 정영철, "사회 위기관리를 위한 전자정부의 빅데이터 활용 방안", 한국정보통신학회논문지, 21(2), pp.435~442 (2017), 한국정보통신학회[DOI]
- "From prediction of infection chances to research on the cure. ‘War against Corona’all the AI experts have gathered Hankyung" (2020)[URL]
- "Measurement for masks the reason for throwing ’DUR’ and select ‘Medical Institution portal’?"[URL]
- "Expected ‘mask crisis’ originated from failure of initial policy Issue Impact" (2020)[URL]
- "‘Virus’ faster than Government Newspim"[URL]
- S. Choi, "Review on smart national crisis management system – focused on case study of integrated crisis respond level", Society for Korean Government Administration, 33(2) (2019)
- J. H. Hyun, "COVID-19 #1 patient contact person interview result", Daily Health and Disease, 13(7)
- "Ministry of Health and Welfare Status of domestic outbreak COVID-19"[URL]
- "Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU)", ~
- S. J. Kang, "Rise of Biosecurity and Global Health Security Agenda, Major International Problem Analysis Korea National Diplomatic Academy No", ~ (2015)
- S. K. Kim, "Trend analysis of infectious disease information analysis technology and roadmap Ministry of Health and Welfare", ~ (2016)
- "AI... in the forefront to eliminate COVID-19(2019-nCoVAL Newspaper"[URL]
- Trend of prevention and respond to domestic and overseas infectious disease Science and Technology Policy Institution, "D. E. Lee.", KHIDI, ~ (2017)
- "A. C. MADRIGAL In Defense of Google Flu Trends The Atlantic"[URL]
- "COVID-19, how to confirm the status “at a glance”" (2020)[URL]
- "AI, COVID-19, rise as a watch dog for infectious disease Medi" (2020)[URL]
- "Success background of‘ Blue Dot’who predicted the outbreak of COVID-19 Medical Journal" (2020)[URL]
- "Domestic AI company, war with COVID-19 AI Times" (2020)[URL]
- "COVID-19, respond with cutting edge technology Kwangju Daily" (2020)[URL]
- "Want to CM, Korea-China O2O Service big data analysis for ‘COVID-19’" (2020)[URL]
- Study on Korean One Health progressing plan to secure national health Ministry of Health and Welfare, "M. R. Kim", ~ (2018)
- K. H. Ko, "Health and welfare statistics and information technology integrated service status and institutional tasks", Health and Welfare Column, 2016(1) (2016)
- "Big concerns of secondary infection. Government infectious disease responding system has been developing for 3 years Money Todat" (2020)[URL]
- "Ways of COVID-19, Big data knows Nocut News" (2020)[URL]
- "‘Integrated NationalInfectious Disease Management making across Ministries connectingplatform Electronic Times" (2019)[URL]
- "CDC, Continue public-private collaboration to prepare for new overseas infectious disease Medi Pharms" (2018)[URL]
- "‘Blind Virus’ money doesn’t work’Daily Chosun" (2020)[URL]