Chanjung Lee, Hyun Kim, Byungo Ahn, Sungmin Son

Key Word Analysis Study on Depression and Anxiety Using Social Big Data During the COVID-19 Pandemic in Korea

  • Public Health, Environmental and Occupational Health
  • Social Psychology
  • Health (social science)

Objectives: In this study, we analyzed the key words ‘depression’ and ‘anxiety’ using big data during variousperiods of the COVID-19 pandemic in Korea. Methods: We divided the CORONA-19 time into 5 periods basedon the progression of superinfection events. Key words related to ‘depression’ and ‘anxiety’ were subjectedto key word network analysis. Results: Although the pandemic persisted, the key word ‘depression’ garneredsignificant interest during the initial phases, but this interest waned over time. Conversely, interest in the ‘anxiety’key word exhibited an increase. Key words relating to the identification and alleviation of depression andanxiety symptoms demonstrated an uptick, signifying a heightened concern for mental health problems. Theterm ‘mind’ emerged as a recurrently associated key word with both ‘depression’ and ‘anxiety’ in the precedingperiod. Noteworthy key words in the network analysis for ‘anxiety’ and ‘depression’ encompassed ‘corona,’‘thought,’ ‘problem,’ and ‘state,’ with ‘corona’ exhibiting connections to other key words through various aspectsof our lives. Conclusion: The outcomes illustrate fluctuations in public interest concerning ‘depression’ and‘anxiety’ in accordance with distinct phases of the COVID-19 pandemic, shedding light on their associationswith pertinent terms. These findings serve as fundamental social health data, enabling the identification ofthe patterns through which depression and anxiety have spread during the COVID-19 pandemic in Korea.

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