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Public Perception Before and After COVID-19 Vaccine Pass for the Unvaccinated to Eat Alone: Social Media Data Analytics.

Sun Ok JungYoon Hee Son
Published in: Inquiry : a journal of medical care organization, provision and financing (2023)
This study was conducted to compare the trends of public perception in South Korea about the vaccine pass requiring the unvaccinated to eat alone during the COVID-19 crisis. Data were collected via Text mining; frequency, association, and sentiment analysis using the social big data analysis service, (known as "Some-Trend"), 2 months before and after December 16, 2021, when the vaccine pass was announced. The total number of search results was 4899 occurrences of the keywords using "eating alone" and "Hon-bab" (Korean abbreviation for eating alone). During the week of December 16, the frequency was the highest (770 occurrences). Compared to the weeks before the announcement sentiment analysis shows that words including "Reject," "Discrimination," and "Uncomfortable," among others, either newly appeared or increased in frequency. And also, the percentage of positive words decreased from 54.5% to 34% and that of negative words increased from 30.2% to 43.3%. The introduction of the vaccine pass has raised negative public interest, particularly regarding the policy of unvaccinated people forcefully restricted to eat alone. Accordingly, this study showed that the vaccine policy had not gain positive perception of the public.
Keyphrases
  • healthcare
  • mental health
  • social media
  • data analysis
  • big data
  • coronavirus disease
  • public health
  • sars cov
  • electronic health record
  • physical activity
  • weight loss
  • machine learning
  • deep learning
  • gestational age