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#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis

  • Georgia Southern University
  • College of Engineering, University of Georgia
  • The Chinese University of Hong Kong
  • University of Georgia
  • The University of Hong Kong
  • Massachusetts Institute of Technology

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Background Advocates use the hashtag #GlobalHealth on Twitter to draw users’ attention to prominent themes on global health, to harness their support, and to advocate for change. Objectives We aimed to describe #GlobalHealth tweets pertinent to given major health issues. Methods Tweets containing the hashtag #GlobalHealth (N = 157,951) from January 1, 2014, to April 30, 2015, were purchased from GNIP Inc. We extracted 5 subcorpora of tweets, each with 1 of 5 co-occurring disease-specific hashtags (#Malaria, #HIV, #TB, #NCDS, and #NTDS) for further analysis. Unsupervised machine learning was applied to each subcorpus to categorize the tweets by their underlying topics and obtain the representative tweets of each topic. The topics were grouped into 1 of 4 themes (advocacy; epidemiological information; prevention, control, and treatment; societal impact) or miscellaneous. Manual categorization of most frequent users was performed. Time zones of users were analyzed. Findings In the entire #GlobalHealth corpus (N = 157,951), there were 40,266 unique users, 85,168 retweets, and 13,107 unique co-occurring hashtags. Of the 13,087 tweets across the 5 subcorpora with co-occurring hashtag #malaria (n = 3640), #HIV (n = 3557), #NCDS (noncommunicable diseases; n = 2373), #TB (tuberculosis; n = 1781), and #NTDS (neglected tropical diseases; n = 1736), the most prevalent theme was prevention, control, and treatment (4339, 33.16%), followed by advocacy (3706, 28.32%), epidemiological information (1803, 13.78%), and societal impact (1617, 12.36%). Among the top 10 users who tweeted the highest number of tweets in the #GlobalHealth corpus, 5 were individual professionals, 3 were news media, and 2 were organizations advocating for global health. The most common users’ time zone was Eastern Time (United States and Canada). Conclusions This study highlighted the specific #GlobalHealth Twitter conversations pertinent to malaria, HIV, tuberculosis, noncommunicable diseases, and neglected tropical diseases. These conversations reflect the priorities of advocates, funders, policymakers, and practitioners of global health on these high-burden diseases as they presented their views and information on Twitter to their followers.

Original languageEnglish
Pages (from-to)682-690
Number of pages9
JournalMount Sinai Journal of Medicine
Volume83
Issue number3-4
DOIs
StatePublished - May 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Scopus Subject Areas

  • General Medicine

Keywords

  • Internet
  • Twitter
  • global health
  • health communication
  • machine learning
  • manual coding
  • social media

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