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  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

ISSN : 1013-0799

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Vol.42 No.1

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An Analysis of the Status of Research Collaborations in Infectious Disease: Focused on the SFTS, Influenza, and Dengue

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2025, v.42 no.1, pp.239-269
https://doi.org/10.3743/KOSIM.2025.42.1.239
Seungtae Lee (Jeonbuk National University)
Ju-Seop Kim (Jeonbuk National University)
Lee, S., & Kim, J. (2025). An Analysis of the Status of Research Collaborations in Infectious Disease: Focused on the SFTS, Influenza, and Dengue. , 42(1), 239-269, https://doi.org/10.3743/KOSIM.2025.42.1.239

Abstract

The purpose of this study is to analyze the status of research collaboration in infectious diseases. In order to achieve this purpose, bibliographic data of research papers related to SFTS, Influenza, and Dengue, published between 2019 and 2023, were collected from Web of Science. These data were cleansed and analyzed for statistics. Furthermore, co-authorship network analysis was performed at the levels of author, institution, and country. As a result of the analysis, the small-world phenomenon was observed in the co-authorship network of these infectious diseases. Moreover, structural differences in research collaboration were identified among these infectious diseases, along with the central actors. In the SFTS, a collaborative structure centered on China, Japan, and Korea emerged, but international collaboration was relatively limited. In Influenza, active international collaboration was observed, centering on the United States, and multinational research collaboration was particularly notable. In Dengue, a collaborative structure centered on the United States, United Kingdom, and Brazil was identified, with strong collaborative ties within tropical and subtropical regions. Finally, the result of this study is expected to be used for establishing policies to respond to infectious diseases in the future.

keywords
bibliometrics, network analysis, co-authorship network analysis, research collaboration, infectious disease
Received
2025-02-19
Revised
2025-03-04
Accepted
2025-03-11
Published
2025-03-01

Journal of the Korean Society for Information Management

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