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Article: How people react to Zika virus outbreaks on Twitter? A computational content analysis

TitleHow people react to Zika virus outbreaks on Twitter? A computational content analysis
Authors
Issue Date2016
Citation
American Journal of Infection Control, 2016 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/229359

 

DC FieldValueLanguage
dc.contributor.authorFu, KW-
dc.contributor.authorLiang, H-
dc.contributor.authorSaroha, N-
dc.contributor.authorTse, ZT-
dc.contributor.authorIp, P-
dc.contributor.authorFung, IC-
dc.contributor.authorCheung, CN-
dc.date.accessioned2016-08-23T14:10:40Z-
dc.date.available2016-08-23T14:10:40Z-
dc.date.issued2016-
dc.identifier.citationAmerican Journal of Infection Control, 2016-
dc.identifier.urihttp://hdl.handle.net/10722/229359-
dc.languageeng-
dc.relation.ispartofAmerican Journal of Infection Control-
dc.titleHow people react to Zika virus outbreaks on Twitter? A computational content analysis-
dc.typeArticle-
dc.identifier.emailFu, KW: kwfu@hkucc.hku.hk-
dc.identifier.emailIp, P: patricip@hku.hk-
dc.identifier.authorityFu, KW=rp00552-
dc.identifier.authorityIp, P=rp01337-
dc.identifier.doi10.1016/j.ajic.2016.04.253-
dc.identifier.hkuros261630-

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