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Volumn 44, Issue 12, 2016, Pages 1709-1711

Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: An analysis of a Zika live Twitter chat

Author keywords

Health communication; Health messaging; Social media

Indexed keywords

INSECT REPELLENT;

EID: 84995944905     PISSN: 01966553     EISSN: 15273296     Source Type: Journal    
DOI: 10.1016/j.ajic.2016.05.025     Document Type: Article
Times cited : (92)

References (10)
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  • 2
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    • Questions and answers: Zika virus infection and pregnancy
    • Accessed from Accessed February 26, 2016
    • 2 Centers for Disease Control and Prevention, Questions and answers: Zika virus infection and pregnancy. Accessed from http://www.cdc.gov/zika/pregnancy/question-answers.html, 2016 Accessed February 26, 2016.
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    • Centers for Disease Control and Prevention1
  • 3
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    • Zika virus
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    • (2016)
    • World Health Organization1
  • 4
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    • USA Today. CDC: 14 new reports of possible sexually transmitted Zika virus
    • Accessed from Accessed February 26, 2016
    • 4 Bowerman, M., USA Today. CDC: 14 new reports of possible sexually transmitted Zika virus. Accessed from http://www.usatoday.com/story/news/nation-now/2016/02/23/cdc-reports-zika-virus-sexually-transmitted/80809474/, 2016 Accessed February 26, 2016.
    • (2016)
    • Bowerman, M.1
  • 6
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    • Twitter in the cross fire—the use of social media in the Westgate Mall terror attack in Kenya
    • 6 Simon, T., Goldberg, A., Aharonson-Daniel, L., Leykin, D., Adini, B., Twitter in the cross fire—the use of social media in the Westgate Mall terror attack in Kenya. PLoS ONE, 9, 2014, e104136.
    • (2014) PLoS ONE , vol.9 , pp. e104136
    • Simon, T.1    Goldberg, A.2    Aharonson-Daniel, L.3    Leykin, D.4    Adini, B.5
  • 7
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    • Emergency knowledge management and social media technologies: a case study of the 2010 Haitian earthquake
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    • (2011) Int J Inf Manag , vol.31 , pp. 6-13
    • Yates, D.1    Paquette, S.2
  • 8
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    • Detecting themes of public concern: a text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat
    • 8 Lazard, A.J., Scheinfeld, E., Bernhardt, J.M., Wilcox, G.B., Suran, M., Detecting themes of public concern: a text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat. Am J Infect Control 43 (2015), 1109–1111.
    • (2015) Am J Infect Control , vol.43 , pp. 1109-1111
    • Lazard, A.J.1    Scheinfeld, E.2    Bernhardt, J.M.3    Wilcox, G.B.4    Suran, M.5
  • 10
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    • Text mining and analysis: practical methods, examples, and case studies using SAS
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.