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dc.contributor.authorYuan, Qingyuen
dc.contributor.authorNsoesie, Elaine O.en
dc.contributor.authorLv, Benfuen
dc.contributor.authorPeng, Gengen
dc.contributor.authorChunara, Rumien
dc.contributor.authorBrownstein, John S.en
dc.date.accessioned2018-10-19T14:32:36Zen
dc.date.available2018-10-19T14:32:36Zen
dc.date.issued2013-05-30en
dc.identifier.othere64323en
dc.identifier.urihttp://hdl.handle.net/10919/85428en
dc.description.abstractSeveral approaches have been proposed for near real-time detection and prediction of the spread of influenza. These include search query data for influenza-related terms, which has been explored as a tool for augmenting traditional surveillance methods. In this paper, we present a method that uses Internet search query data from Baidu to model and monitor influenza activity in China. The objectives of the study are to present a comprehensive technique for: (i) keyword selection, (ii) keyword filtering, (iii) index composition and (iv) modeling and detection of influenza activity in China. Sequential time-series for the selected composite keyword index is significantly correlated with Chinese influenza case data. In addition, one-month ahead prediction of influenza cases for the first eight months of 2012 has a mean absolute percent error less than 11%. To our knowledge, this is the first study on the use of search query data from Baidu in conjunction with this approach for estimation of influenza activity in China.en
dc.format.mimetypeapplication/pdfen
dc.language.isoen_USen
dc.publisherPLOSen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleMonitoring Influenza Epidemics in China with Search Query from Baiduen
dc.typeArticle - Refereeden
dc.description.versionPeer Revieweden
dc.title.serialPLOS ONEen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0064323en
dc.identifier.volume8en
dc.identifier.issue5en
dc.type.dcmitypeTexten
dc.identifier.pmid23750192en
dc.identifier.eissn1932-6203en


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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International