Monitoring Influenza Epidemics in China with Search Query from Baidu

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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.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.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0064323en
dc.identifier.eissn1932-6203en
dc.identifier.issue5en
dc.identifier.othere64323en
dc.identifier.pmid23750192en
dc.identifier.urihttp://hdl.handle.net/10919/85428en
dc.identifier.volume8en
dc.language.isoenen
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.title.serialPLOS ONEen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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