ArticleInquiry : a journal of medical care organization, provision and financing
Public Perception Before and After COVID-19 Vaccine Pass for the Unvaccinated to Eat Alone: Social Media Data Analytics.
Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.