Presentation Information
[C21-02]Interpreting the depression during the COVID-19 pandemic as topographical maps
*Daiki Tatematsu1, Shingo Iwami1 (1. Nagoya University (Japan))
Keywords:
Energy Landscape Analysis,Depression,COVID-19,Mental health
The COVID-19 pandemic changed our lifestyles. It is expected that the changes in mental health also occurred because of these changes. In this study, we used the questionnaire responses that asked high school students in Tokyo about their depression before and during the COVID-19 pandemic and analyzed the group characteristics of changes in depression as topographical maps using energy landscape analysis (ELA), a method of multidimensional time-series data analysis. As a result, we visualized how the topographical maps of the depression changed in the COVID-19 pandemic and found that the COVID-19 pandemic has made the students less likely to become depressed. These results are consistent with previous studies and suggest that ELA is useful for the analysis of psychiatric questionnaires.