Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis

Ruth G Abebe1, Schwab Bakombo1, Anne T M Konkle1,2,3

  • 1Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

Insights

Canadians experienced significant negative impacts from COVID-19 interventions, with financial and social repercussions leading to a predominantly negative outlook despite adaptation efforts. This study analyzed Twitter data to understand these responses.

Area of Science:

  • Social Sciences
  • Public Health
  • Digital Communication

Background:

  • The COVID-19 pandemic prompted widespread non-pharmaceutical interventions (NPIs).
  • These NPIs had significant, often unintended, physical, mental, and social consequences for the population.
  • Understanding public response to these societal shifts is crucial for public health policy.

Purpose of the Study:

  • To examine Canadian experiences and responses to COVID-19 interventions.
  • To analyze public sentiment and adaptation using Twitter data.
  • To apply the Kübler-Ross Change Curve (KRCC) framework to understand pandemic-related emotional trajectories.

Main Methods:

  • Retrospective study analyzing Canadian Twitter data from the first six months of the pandemic.
  • Utilized sentiment analysis and thematic content analysis.
  • Applied the Kübler-Ross Change Curve (KRCC) to categorize and interpret tweet content.

Main Results:

  • Canadians demonstrated attempts to adapt to the imposed changes.
  • A predominantly negative sentiment towards policies was observed.
  • Financial and social repercussions were key drivers of negative public outlook.

Conclusions:

  • Public response to COVID-19 interventions was complex, marked by adaptation challenges.
  • Social media, like Twitter, provides valuable insights into public sentiment during health crises.
  • Policy implications include addressing the financial and social impacts of public health measures.

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