@article{ART003186151},
author={Juseop Kim and Seungtae Lee and Hyojin Geum and Areum Song and Suntae Kim},
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 - Juseop Kim
AU - Seungtae Lee
AU - Hyojin Geum
AU - Areum Song
AU - Suntae Kim
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 -
Juseop Kim, Seungtae Lee, Hyojin Geum, Areum Song and Suntae Kim. (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.
Juseop Kim, Seungtae Lee, Hyojin Geum, Areum Song and Suntae Kim. 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
Juseop Kim, Seungtae Lee, Hyojin Geum, Areum Song, Suntae Kim "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.
Juseop Kim, Seungtae Lee, Hyojin Geum, Areum Song, Suntae Kim. 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
Juseop Kim, Seungtae Lee, Hyojin Geum, Areum Song and Suntae Kim. "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
Juseop Kim; Seungtae Lee; Hyojin Geum; Areum Song; Suntae Kim. 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
Juseop Kim; Seungtae Lee; Hyojin Geum; Areum Song; Suntae Kim. 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
Juseop Kim, Seungtae Lee, Hyojin Geum, Areum Song, Suntae Kim. 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
Juseop Kim, Seungtae Lee, Hyojin Geum, Areum Song and Suntae Kim. "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
