@article{ART003186151},
author={KIm Ju-Seop and Seungtae Lee and GEUM HYO JIN and Areum Song and Kim Sun Tae},
title={An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue},
journal={Journal of the Korean Biblia Society for Library and Information Science},
issn={1229-2435},
year={2025},
volume={36},
number={1},
pages={303-334},
doi={10.14699/KBIBLIA.2025.36.1.null.55355}
TY - JOUR
AU - KIm Ju-Seop
AU - Seungtae Lee
AU - GEUM HYO JIN
AU - Areum Song
AU - Kim Sun Tae
TI - An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue
JO - Journal of the Korean Biblia Society for Library and Information Science
PY - 2025
VL - 36
IS - 1
PB - Journal Of The Korean Biblia Society For Library And Information Science
SP - 303
EP - 334
SN - 1229-2435
AB - This study analyzed research trends on four major infectious diseases (COVID-19, Influenza, SFTS, and Dengue) to provide basic data for establishing infectious disease response strategies. Utilizing bibliographic data from the Web of Science, keyword network analysis and topic modeling (LDA) were applied to identify research themes. Findings indicate that Core research areas such as clinical diagnosis, vaccine and therapeutic development, proteins and immune responses, and epidemiology were identified for all four major infectious diseases. COVID-19 research has expanded into various areas, including resilience, social and economic impact, and telemedicine, while Influenza studies focused on seasonal outbreaks and mutation responses. Research on SFTS and Dengue consistently emphasized vector control and transmission pathways. This study provides foundational data for national infectious disease response policy and R&D investment.
KW - Bibliometrics;Research Trends;Keyword Network Analysis;Topic Modeling;Infectious Diseases
DO - 10.14699/KBIBLIA.2025.36.1.null.55355
ER -
KIm Ju-Seop, Seungtae Lee, GEUM HYO JIN, Areum Song and Kim Sun Tae. (2025). An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue. Journal of the Korean Biblia Society for Library and Information Science, 36(1), 303-334.
KIm Ju-Seop, Seungtae Lee, GEUM HYO JIN, Areum Song and Kim Sun Tae. 2025, "An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue", Journal of the Korean Biblia Society for Library and Information Science, vol.36, no.1 pp.303-334. Available from: doi:10.14699/KBIBLIA.2025.36.1.null.55355
KIm Ju-Seop, Seungtae Lee, GEUM HYO JIN, Areum Song, Kim Sun Tae "An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue" Journal of the Korean Biblia Society for Library and Information Science 36.1 pp.303-334 (2025) : 303.
KIm Ju-Seop, Seungtae Lee, GEUM HYO JIN, Areum Song, Kim Sun Tae. An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue. 2025; 36(1), 303-334. Available from: doi:10.14699/KBIBLIA.2025.36.1.null.55355
KIm Ju-Seop, Seungtae Lee, GEUM HYO JIN, Areum Song and Kim Sun Tae. "An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue" Journal of the Korean Biblia Society for Library and Information Science 36, no.1 (2025) : 303-334.doi: 10.14699/KBIBLIA.2025.36.1.null.55355
KIm Ju-Seop; Seungtae Lee; GEUM HYO JIN; Areum Song; Kim Sun Tae. An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue. Journal of the Korean Biblia Society for Library and Information Science, 36(1), 303-334. doi: 10.14699/KBIBLIA.2025.36.1.null.55355
KIm Ju-Seop; Seungtae Lee; GEUM HYO JIN; Areum Song; Kim Sun Tae. An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue. Journal of the Korean Biblia Society for Library and Information Science. 2025; 36(1) 303-334. doi: 10.14699/KBIBLIA.2025.36.1.null.55355
KIm Ju-Seop, Seungtae Lee, GEUM HYO JIN, Areum Song, Kim Sun Tae. An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue. 2025; 36(1), 303-334. Available from: doi:10.14699/KBIBLIA.2025.36.1.null.55355
KIm Ju-Seop, Seungtae Lee, GEUM HYO JIN, Areum Song and Kim Sun Tae. "An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue" Journal of the Korean Biblia Society for Library and Information Science 36, no.1 (2025) : 303-334.doi: 10.14699/KBIBLIA.2025.36.1.null.55355
