Journal of Industrial Convergence (산업융합연구)

DAEHAN Society of Industrial Management (대한산업경영학회)
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A Study on deduction of important factors for new infectious diseases through big data analysis

빅데이터 분석을 통한 신종감염병 중요 요인 도출

  • Suh, Kyung-Do (Industry-Academic Collaboration Foundation, Kumoh National Institute of Technology)
  • 서경도 (금오공과대학교 산학협력단)
  • Received : 2021.06.01
  • Accepted : 2021.06.20
  • Published : 2021.06.30
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Abstract

This study attempted to derive important factors of emerging infectious diseases by collecting and analyzing text data onto emerging infectious diseases. For this purpose, articles in the Naver News database were directly crawled, pre-processed, and used for data analysis. In addition, additional analysis was performed using Big Kinds. As a result of the priority analysis, the importance was shown in the order of corona, infectious disease, quarantine, vaccine, outbreak, virus, infection, and development. As a result of the proximity centrality analysis, the importance was shown in the order of government, death, and plan, and the analysis result of Big Kinds showed that Covid-19 and the Korea Centers for Disease Control and Prevention were important. Based on the results of this study, it can be said that the government's policy support is needed to raise public awareness of new infectious diseases, prevent disease, and develop vaccines and treatments.

본 연구는 신종감염병에 대한 텍스트 데이터를 수집하고, 이를 분석하여 신종감염병에서 중요한 요인을 도출하고자 하였다. 이를 위해 네이버 뉴스 데이터베이스의 기사를 직접 크롤링하고, 이를 전처리 하여, 데이터 분석에 활용하였다. 또한 빅카인즈를 활용하여 추가적인 분석을 실시하였다. 우선순위 분석결과, 코로나, 전염병, 방역, 백신, 발생, 바이러스, 감염, 개발 순으로 그 중요도가 나타났다. 근접중심성 분석 결과 정부, 사망, 계획 순으로 그 중요도가 나타났으며, 빅카인즈 분석결과는 코로나 19, 질병관리 본부 등이 중요한 것으로 나타났다. 본 연구의 결과를 토대로 신종감염병에 대한 대국민 인식 제고 및 방역, 백신 및 치료제 개발 등에 정부의 정책적인 지원이 필요하다고 할 수 있다.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A5B5A07073840).

References

  1. E. M. Park & J. H. Seo. (2020). Analysis of Research Trends in Technology Innovation: Focus on SCOPUS DB. Journal of Convergence for Information Technology, 10(8), 120-126. DOI: 10.22156/CS4SMB.2020.10.08.120
  2. S. T. Park & Y. K. Kim. (2019). A study on deriving an optimal route for foreign tourists through the analysis of big data. Journal of Convergence for Information Technology, 9(10), 56-63. DOI: 10.22156/CS4SMB.2019.9.10.056
  3. S. T. Park, D. Y. Kim & G. Li. (2020). An analysis of environmental big data through the establishment of emotional classification system model based on machine learning: focus on multimedia contents for portal applications. Multimedia Tools and Applications, 1-19. DOI: 10.1007/s11042-020-08818-5
  4. S. T. Park, J. R. Jung & C. Liu. (2020). A study on policy measure for knowledge-based management in ICT companies: focused on appropriability mechanisms. Information Technology and Management, 21(1), 1-13. DOI: 10.1007/s10799-019-00298-w
  5. Korea Ministry of Government Legislation, https://www.law.go.kr
  6. E. M. Park & J. H. Seo. (2019). A Study on Leadership Typology in Sports Leaders Based on Big Data Analysis. Journal of the Korea Convergence Society, 10(7), 191-198. DOI: 10.15207/JKCS.2019.10.7.191
  7. M. Park. (2020). Awareness about pandemic influenza, Ethical Awareness, and Ethical Decision-making among Nursing Students in the situation of COVID-19 pandemic. Journal of Digital Convergence, 18(10), 335-344. DOI: 10.14400/JDC.2020.18.10.335
  8. H. J. Park & O. C. Lee. (2019). Ethical Awareness and Decision-making of Healthcare Providers in Response to Pandemic Influenza-Focused on Middle East Respiratory Symptom Coronavirus. Crisisonomy, 15(1), 19-29.
  9. S. H. Song, J. K. Choi & S. R. Kim. (2020). Response System for Emerging Infectious Disease Crisis-Focusing on the Organization and the Operation of an Initial Response Task Force. Crisisonomy, 16(5), 1-16.
  10. S. Y. Jeon. (2020). An Analysis of the Effectiveness of the National Prevention System: Response to the MERS Outbreak in 2018. Journal of the Korean Society of Hazard Mitigation, 20, 39-50. DOI: 10.9798/KOSHAM.2020.20.3.39
  11. D. J. Kim & Y. H. Choi. (2020). Economic impact of the COVID-19 and policy challenges. Future Growth Research, 6(1), 163-174.
  12. K. H. Baek & J. Y. Kim. (2021). A Legal Study on Infectious Disease Crisis Response and Healthcare Big Data Collection. Chosun law journal, 28(1), 3-31. https://doi.org/10.18189/isicu.2021.28.1.3
  13. K. D. Suh & P. A. Choi. (2020). A Study on Healthcare Policy Response to Risks of Future Infectious Diseases: Focused on Infectious Disease Surveillance Systems. Journal of Industrial Convergence, 18(3), 109-116. DOI: 10.22678/JIC.2020.18.3.109
  14. K. D. Suh, J. I. Choi & P. A. Choi. (2020). Research on criminal policy measures for the prevention and management of infectious diseases: Focusing on Mers. Journal of Industrial Convergence, 18(6), 9-17. DOI: 10.22678/JIC.2020.18.6.009
  15. S. T. Park & C. Liu. (2020). A study on topic models using LDA and Word2Vec in travel route recommendation: focus on convergence travel and tours reviews. Personal and Ubiquitous Computing, 1-17. DOI: 10.1007/s00779-020-01476-2
  16. K. S. Noh, J. H. Kim, S. T. Park & B. S. Kim. (2020). Big data analysis using R, Wowpass.