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  • P-ISSN1229-2435
  • E-ISSN2799-4767
  • KCI

An Analysis of Research Trends in Infectious Diseases Using Keyword Network Analysis and Topic Modeling: Focusing on COVID-19, Influenza, SFTS, Dengue

Journal Of Korean Biblia Society for Library and Information Science / Journal Of Korean Biblia Society for Library and Information Science, (P)1229-2435; (E)2799-4767
2025, v.36 no.1, pp.303-334
https://doi.org/10.14699/KBIBLIA.2025.36.1.null.55355
Ju-Seop KIm
Seungtae Lee
HYO JIN GEUM
Areum Song
Sun Tae Kim

Abstract

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.

keywords
Bibliometrics, Research Trends, Keyword Network Analysis, Topic Modeling, Infectious Diseases
Received
2025-02-23
Revised
2025-02-24
Accepted
2025-03-16
Published
2025-03-30

Journal Of Korean Biblia Society for Library and Information Science