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Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing.

V S Anoop1, S Sreelakshmi2

  • 1School of Digital Sciences, Kerala University of Digital Sciences, Innovation and Technology, Thiruvananthapuram, India.

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|April 5, 2023
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Summary

Public discourse analysis reveals widespread fear and stigma surrounding Mpox (mpox virus) outbreaks. Understanding these public sentiments is crucial for effective health interventions and policy-making during global health emergencies.

Keywords:
Discourse analysisInfodemiologyMpox outbreakNatural language processingPublic health emergenciesSentiment analysis

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Area of Science:

  • Public Health
  • Computational Social Science
  • Epidemiology

Background:

  • Mpox (mpox virus) was declared a Public Health Emergency of International Concern by the WHO in July 2022.
  • Widespread public discussion and concern regarding Mpox emerged on social media platforms.
  • Understanding public perception is vital for managing disease outbreaks and informing health strategies.

Purpose of the Study:

  • To analyze public perspectives and sentiments regarding Mpox cases using natural language processing (NLP).
  • To identify key themes and concerns expressed by the public on social media during the Mpox outbreak.
  • To leverage insights from user-generated content for public health interventions and infodemiology.

Main Methods:

  • A qualitative study employing NLP techniques, specifically topic modeling and sentiment analysis.
  • Analysis of 289,073 Reddit comments posted between June 1 and August 5, 2022.
  • Topic modeling identified major themes; sentiment analysis assessed public reactions to outbreak aspects.

Main Results:

  • Key themes identified include Mpox symptoms, transmission, travel, government interventions, and homophobia.
  • Significant public fear and stigma surrounding the Mpox virus were prevalent across discussions.
  • User-generated content highlighted concerns about the unknown nature of the virus.

Conclusions:

  • Analyzing public discourse on health emergencies is critical for effective public health responses.
  • Insights from social media can inform community health programs and infodemiology research.
  • Findings support data-driven decision-making for health policy and intervention effectiveness evaluation.