How People React to Zika Virus Outbreaks on Twitter? A Computational Content Analysis

Authors

• King-Wa Fu, University of Hong KongFollow
• Hai Liang, University of Hong KongFollow
• Nitin Saroha, University of GeorgiaFollow
• Zion Tsz Ho Tse, University of GeorgiaFollow
• Patrick Ip, University of Hong KongFollow
• Isaac Chun-Hai Fung, Georgia Southern UniversityFollow

Document Type

Article

Publication Date

12-1-2016

Publication Title

American Journal of Infection Control

DOI

10.1016/j.ajic.2016.04.253

ISSN

0196-6553

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.

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Recommended Citation

Fu, King-Wa, Hai Liang, Nitin Saroha, Zion Tsz Ho Tse, Patrick Ip, Isaac Chun-Hai Fung. 2016. "How People React to Zika Virus Outbreaks on Twitter? A Computational Content Analysis." American Journal of Infection Control, 44 (12): 1700-1702: Elsevier. doi: 10.1016/j.ajic.2016.04.253
https://digitalcommons.georgiasouthern.edu/bee-facpubs/12

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