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Public concerns about COVID-19 evolved over time, as shown by Twitter topic modeling. Understanding these shifts is crucial for effective public health policy during pandemics.

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Area of Science:

  • Public Health
  • Social Media Analysis
  • Epidemiology

Background:

  • Understanding public response to health crises is vital for policy.
  • The COVID-19 pandemic necessitated rapid policy adjustments.
  • Social media platforms offer insights into public sentiment.

Purpose of the Study:

  • To analyze public discussions on Twitter regarding COVID-19.
  • To identify temporal shifts in public concerns before and after the pandemic declaration.
  • To inform future public health strategies through sentiment analysis.

Main Methods:

  • Utilized topic modeling on a large dataset of Twitter tweets.
  • Analyzed discussions related to COVID-19.
  • Examined changes in topic prevalence over time.

Main Results:

  • Identified nine distinct topics in public discourse.
  • Observed significant temporal variations in the discussion of these topics.
  • Demonstrated that public concerns shifted as the pandemic evolved.

Conclusions:

  • Public discourse on COVID-19 is dynamic and changes with pandemic progression.
  • Topic modeling of social media provides valuable insights into public health concerns.
  • Findings can guide adaptive public health communication and policy during health emergencies.