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Article
How People React to Zika Virus Outbreaks on Twitter? A Computational Content Analysis
American Journal of Infection Control
  • King-Wa Fu, University of Hong Kong
  • Hai Liang, University of Hong Kong
  • Nitin Saroha, University of Georgia
  • Zion Tsz Ho Tse, University of Georgia
  • Patrick Ip, University of Hong Kong
  • Isaac Chun-Hai Fung, Georgia Southern University
Document Type
Article
Publication Date
12-1-2016
DOI
10.1016/j.ajic.2016.04.253
Abstract

Zika-related Twitter incidence peaked after the World Health Organization declared an emergency. Five themes were identified from Zika-related Twitter content: (1) societal impact of the outbreak; (2) government, public and private sector, and general public responses to the outbreak; (3) pregnancy and microcephaly: negative health consequences related to pregnant women and babies; (4) transmission routes; and (5) case reports. User-generated contents sites were preferred direct information channels rather than those of the government authorities.

Citation Information
King-Wa Fu, Hai Liang, Nitin Saroha, Zion Tsz Ho Tse, et al.. "How People React to Zika Virus Outbreaks on Twitter? A Computational Content Analysis" American Journal of Infection Control Vol. 44 Iss. 12 (2016) p. 1700 - 1702 ISSN: 0196-6553
Available at: http://works.bepress.com/isaac_fung1/86/