DOI QR코드

DOI QR Code

Analysis of Research Trends about COVID-19: Focusing on Medicine Journals of MEDLINE in Korea

COVID-19 관련 연구 동향에 대한 분석 - MEDLINE 등재 국내 의학 학술지를 중심으로 -

  • 서미진 (숙명여자대학교 문헌정보학과) ;
  • 이지수 (숙명여자대학교 문헌정보학과)
  • Received : 2023.08.14
  • Accepted : 2023.08.29
  • Published : 2023.09.30

Abstract

This study analyzed the research trends of COVID-19 research papers published in medical journals of Korea. Data were collected from 25 MEDLINE journals in 'Medicine and Pharmacy' studies and a total of 800 were selected. As a result of the study, authors from domestic affiliations made up 76.96% of the total, and the proportion of authors from foreign institutions decreased without significant change. The authors' majors were 'Internal Medicine' (32.85%), 'Preventive Medicine/Occupational and Environmental Medicine' (16.23%), 'Radiology' (5.74%), and 'Pediatrics' (5.50%), and 435 (54.38%) papers were collaborative research. As for author keywords, 'COVID19' (674), 'SARSCoV2' (245), 'Coronavirus' (81), and 'Vaccine' (80) were derived as top keywords. There were six words that appeared throughout the entire period: 'COVID19,' 'SARSCoV2,' 'Coronavirus,' 'Korea,' 'Pandemic,' and 'Mortality.' Co-occurrence network analysis was conducted on MeSH terms and author keywords, and common keywords such as 'covid-19,' 'sars-cov-2,' and 'public health' were derived. In topic modeling, five topics were identified, including 'Vaccination,' 'COVID-19 outbreak status,' 'Omicron variant,' 'Mental health, control measures,' and 'Transmission and control in Korea.' Through this study, it was possible to identify the research areas and major keywords by year of COVID-19 research papers published during the 'Public Health Emergency of International Concern (PHEIC).'

본 연구는 국내 의학 학술지에 발행된 COVID-19(Coronavirus Disease 2019) 논문의 연구 동향을 분석하였다. 연구 대상은 MEDLINE에 등재된 의학 분야 학술지 25종으로 총 800건을 선정하였으며, 이를 대상으로 저자 분석, 빈도 분석, 주제 분석, 토픽모델링을 수행하였다. 연구 결과, 저자의 소속 기관은 국내 기관이 76.96%였으며, 국외 기관 저자의 비율은 소폭 감소하였다. 저자의 전공은 '내과학'(32.85%), '예방의학/직업환경의학'(16.23%), '방사선과학'(5.74%), '소아과학'(5.50%) 순이었으며, 공동 연구가 진행된 논문은 435건(54.38%)이었다. 저자 키워드는 'COVID19'(674번), 'SARSCoV2'(245번), 'Coronavirus'(81번), 'Vaccine'(80번) 등이 상위 키워드로 도출되었다. 전체 기간 등장한 단어는 'COVID19', 'SARSCoV2', 'Coronavirus', 'Korea', 'Pandemic', 'Mortality' 등 6개이다. MeSH 용어와 저자 키워드를 대상으로 동시 출현 네트워크 분석을 실시하였으며, 공통적으로 'covid-19', 'sars-cov-2', 'public health' 등의 중심 주제어가 도출되었다. 토픽모델링에서는 '백신 접종', 'COVID-19 발생 현황', '오미크론 변이 바이러스', '정신 건강, 방역 조치', '국내 감염의 전파 및 관리' 등 총 5가지의 토픽이 확인되었다. 이 연구를 통하여 '국제적 공중보건 비상사태'(Public Health Emergency of International Concern, PHEIC) 기간 동안 발행된 국내 COVID-19 논문의 연구 영역과 연도별 주요 키워드를 파악할 수 있었다.

Keywords

References

  1. Heo, Seong-Min & Yang, Ji-Yeon (2021). A convergence study on the topic and sentiment of COVID19 research in Korea using text analysis. Journal of the Korea Convergence Society, 12(4), 31-42. https://doi.org/10.15207/JKCS.2021.12.4.031
  2. Hwang, Hyeonjeong, Kim, Kitae, & Kim, Hyeong Jun (2021). The clustering analysis of co-occurrence network of Covid-19 news articles in South Korea. The State and Politics, 27(2), 117-155.
  3. Jeong, So-Na & Jeong, Ji-Na (2017). A study on the retrieval effectiveness of Korea Med using MeSH search filter and word-proximity search. Journal of the Korea Academia-Industrial cooperation Society, 18(5), 596-607. https://doi.org/10.5762/KAIS.2017.18.5.596
  4. Joo, Ah-Rim & Cheon, Sooyoung (2023). Emotion analysis with COVID-19 based on on-line text. Journal of The Korean Data Analysis Society, 25(3), 937-948. https://doi.org/10.37727/jkdas.2023.25.3.937
  5. Jung, Junho & Kim, Ock-Joo (2020). Research ethics in COVID-19(SARS-CoV-2) vaccine study. Asia Pacific Journal of Health Law & Ethics, 13(3), 1-25. https://doi.org/10.38046/APJHLE.2020.13.3.001
  6. Kim, Eun-Hoe & Suh, Yu-Hwa (2022). Research topic analysis of the domestic papers related to COVID-19 using LDA. Journal of Korea Institute of Information, Electronics, and Communication Technology, 15(5), 423-432. https://doi.org/10.17661/jkiiect.2022.15.5.423
  7. Kim, Jinsol, Shin, Donghoon, & Kim, Hee-Woong (2021). Analysis of major COVID-19 issues using unstructured big data. Knowledge Management Review, 22(2), 145-165. https://doi.org/10.15813/KMR.2021.22.2.008
  8. Kim, Yeon-Jung (2023). Analysis of issues on COVID-19 blues using big data. Health and Social Welfare Review, 43(2), 29-47. https://doi.org/10.15709/HSWR.2023.43.2.29
  9. Lee, Choon-Shil & Moon, Hyewon (2000). A comparison study of subject words of Korean medical journal papers: Author keywords vs MeSH terms assigned by MEDLINE. Journal of the Korean Society for Information Management, 17(3), 109-124.
  10. Lee, Mina & Hong, Juhyun (2021). A study on the diffusion of messages on social media during the pandemic: Analysis of YouTube videos related to the COVID-19 vaccine. The Journal of Image and Cultural Contents, 23, 331-369. https://doi.org/10.24174/jicc.2021.06.23.331
  11. Lee, Myong Hwa, Park, Geon-hee, Lee, Daeun, Choi, Yongin, Oh, Yoonhwan, & Jang, Yongsuk (2020). South Korea's Responses to COVID-19: Factors Behind. Science and Technology Policy Institute.
  12. Lim, Ji Young & Chung, EunKyung (2016). A comparative analysis on cardiovascular research in Korea and the United States. Journal of the Korean BIBLIA Society for Library and Information Science, 27(1), 111-134. https://doi.org/10.14699/KBIBLIA.2016.27.1.111
  13. Ministry of Health and Welfare (2021). The 2nd Mental Health Welfare Basic Plan(2021-2025).
  14. Ministry of Health and Welfare (2021.02.05). Reinforcing national psychological support service to respond to COVID-19 depression. Available: http://www.mohw.go.kr/react/al/sal0301vw.jsp?PAR_MENU_ID=04&MENU_ID=0403&CONT_SEQ=363416&page=1
  15. National Research Foundation of Korea (2020). COVID-19 Rapid Response Efforts and Key Achievements.
  16. Seong, Heehye & Lee, Hye-Eun (2021). A bibliometric analysis of the Korean medical journal (1930-1937). Journal of the Korean Society for Information Management, 38(3), 239-262. https://doi.org/10.3743/KOSIM.2021.38.3.239
  17. Seong, Woo-kyung (2020). Research trends in biodiagnostic technologies for testing infectious diseases such as COVID-19 virus. The Journal of the Korean Institute of Communication Sciences, 37(9), 71-76.
  18. Shin, Eun-Ja (2021). Recent academic publishing trends through bibliometric analysis of COVID-19 articles: Focused on medicine and life science. Journal of the Korean BIBLIA Society for Library and Information Science, 32(1), 115-132. https://doi.org/10.14699/KBIBLIA.2021.32.1.115
  19. Son, Deok & Kim, Jang-Hoon (2022). Study on the activation of international collaborative research through scientometric analysis of highly cited papers: Based on COVID-19 case. Journal of Korea Technology Innovation Society, 25(5), 1077-1104. https://doi.org/10.35978/jktis.2022.10.25.5.1077
  20. Yang, Jeongmo (2021). Changes in research culture driven by the COVID-19 pandemic. National Research Foundation of Korea.
  21. Yoon, Sangchul, Lee, Jongwook, Kim, Inyoung, & No, Sangeun (2020). Korea's response to COVID-19 using ICT and its achievements. Seongnam: KOICA
  22. Yun, Eun Kyoung, Kim, Jung Ok, Byun, Hye Min, & Lee, Guk Geun (2021). Topic modeling and keyword network analysis of news articles related to nurses before and after "the Thanks to You Challenge" during the COVID-19 pandemic. Journal of Korean Academy of Nursing, 51(4), 442-453. https://doi.org/10.4040/jkan.20287
  23. Barrett, P., Hansen, N. J., Natal, J. M., & Noureldin, D. (2021, October 6). Why Basic Science Matters for Economic Growth. Available: https://www.imf.org/en/Blogs/Articles/2021/10/06/blog-ch3-weo-why-basic-sciencematters-for-economic-growth
  24. Bleasdale, B. (2020, July 14). How could Covid-19 change research culture for the better?. Available: https://wellcome.org/news/how-could-covid-19-change-research-culture-better
  25. Jeong, S. & Jeong, J. (2020). Analysis of research trends in Korean dentistry journals by assigning MeSH to author keywords. Medicine, 99(38), e22190. https://doi.org/10.1097/MD.0000000000022190
  26. Kim, H. & Oh, S. (2023). Everyday life information seeking in South Korea during the COVID-19 pandemic: daily topics of information needs in social Q&A. Online Information Review, 47(2), 414-430. https://doi.org/10.1108/OIR-10-2021-0547
  27. World Health Organization (2020, April 27). Archived: WHO Timeline - COVID-19. Available: https://www.who.int/news/item/27-04-2020-who-timeline---covid-19
  28. World Health Organization (2020, March 11). WHO Director-General's opening remarks at the media briefing on COVID-19 - 11 March 2020. Available: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020