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A Twitter dataset for Monkeypox, May 2022.

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A new dataset of 2.4 million Monkeypox tweets from 2022 is now available. This resource aids researchers in tracking discussions, identifying hotspots, and understanding the Monkeypox outbreak on social media.

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Area of Science:

  • Public Health
  • Epidemiology
  • Digital Epidemiology

Background:

  • The COVID-19 pandemic recovery is threatened by the rapid global spread of Monkeypox.
  • Social media, particularly Twitter, has proven valuable for outbreak prediction and control.
  • Limited accessibility of tweet data hinders comprehensive research on emerging infectious diseases.

Purpose of the Study:

  • To present a publicly available dataset of Monkeypox-related tweets.
  • To facilitate research on social media discussions, patterns, and hotspots of the Monkeypox outbreak.
  • To support efforts in containing the Monkeypox virus through data accessibility.

Main Methods:

  • Collected 2,400,202 tweets using the Twitter Developers Academic Research API (May 1 - Dec 25, 2022).
  • Utilized keywords in multiple languages (e.g., "Monkeypox", "viruela dei mono") and excluded retweets.
  • Extracted and shared tweet and user IDs; geotagged tweets (1.79%) were analyzed for spatial patterns.

Main Results:

  • A substantial dataset of Monkeypox tweets was compiled and made publicly accessible.
  • Geotagged data revealed spatial distribution patterns, with approximately 1.79% of tweets having location information.
  • The dataset enables analysis of public discourse, trends, and potential hotspots related to Monkeypox.

Conclusions:

  • The presented dataset significantly enhances research accessibility for studying Monkeypox on social media.
  • This resource can aid in understanding public perception, identifying misinformation, and tracking the virus's spread.
  • Facilitating open data access is crucial for effective public health surveillance and response to global health threats.