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Influence of the pandemic dissemination of COVID-19 on facial rejuvenation: A survey of Twitter.

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  • Additional Information
    • Source:
      Publisher: Blackwell Science Country of Publication: England NLM ID: 101130964 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-2165 (Electronic) Linking ISSN: 14732130 NLM ISO Abbreviation: J Cosmet Dermatol Subsets: MEDLINE
    • Publication Information:
      Original Publication: Oxford, UK : Blackwell Science, c2002-
    • Subject Terms:
    • Abstract:
      Background: With the pandemic dissemination of COVID-19, attitude and sentiment surrounding facial rejuvenation have evolved rapidly.
      Aims: The purpose of this study was to understanding the impact of pandemic on the attitude of people toward facial skin rejuvenation.
      Methods: Twitter data related to facial rejuvenation were collected from January 1, 2020, to April 30, 2020. Sentiment analysis, frequency analysis, and word cloud were performed to analyze the data. Statistical analysis included two-tailed t tests and chi-square tests.
      Results: In the post-declaration, the number of tweets about facial rejuvenation increased significantly, and the search volume in Google Trends decreased. Negative public emotions increased, but positive emotions still dominate. The words frequency of "discounts" and "purchase" decreased. The dominant words in word cloud were "Botox," "facelift," "hyaluronic," and "skin."
      Conclusion: The public has a positive attitude toward facial rejuvenation during the pandemic. In particular, minimally invasive procedures dominate the mainstream, such as "Botox," "Hyaluronic acid," and "PRP." The practitioners could understand the change of the public interest in facial rejuvenation in time and decide what to focus on.
      (© 2020 Wiley Periodicals LLC.)
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    • Grant Information:
      20A320033 The University key scientific research project of Henan Province
    • Contributed Indexing:
      Keywords: Covid-19; Twitter; facial rejuvenation; sentiment analysis; word cloud
    • Publication Date:
      Date Created: 20200828 Date Completed: 20201104 Latest Revision: 20220720
    • Publication Date:
      20231215
    • Accession Number:
      PMC7461188
    • Accession Number:
      10.1111/jocd.13688
    • Accession Number:
      32852146