부산대학교 도서관

Over the past two years, the world has suffered a lot due to COVID-19. Nevertheless, various policies and studies are being conducted to overcome this situation. The health belief model (HBM) is a theory that has been actively used recently, and analysis through health belief model theory is being made in various fields. Therefore, this study attempted to compare and analyze domestic and international research trends using the health belief model, a research method that had not been conducted before. In order to achieve the research purpose, in this study, the thesis data using domestic and international health belief model theories from January 1, 2020 to October 31, 2021, during the COVID-19 period, were collected through KCI and SPRINGER, respectively. TF-IDF key word analysis was performed on the collected data through a refining process, and based on the results, it was used for word cloud visualization analysis. In addition, topic modeling and 2-mode network analysis were performed to extract and visualize the number of topics selected by the researcher from the entire thesis data. As a network analysis tool, NetMiner 4.4.3.e and Bilblio Data Collector, which is widely used in social network analysis, was used. The results of this study were able to comprehend and compare overall research topics at domestic and international using the health belief model theory.