Monitoring Influenza Epidemics in China with Search Query from Baidu

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Monitoring Influenza Epidemics in China with Search Query from Baidu

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Title: Monitoring Influenza Epidemics in China with Search Query from Baidu
Author: Yuan, Qingyu; Nsoesie, Elaine O.; Lv, Benfu; Peng, Geng; Chunara, Rumi; Brownstein, John S.

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Citation: Yuan, Qingyu, Elaine O. Nsoesie, Benfu Lv, Geng Peng, Rumi Chunara, and John S. Brownstein. 2013. “Monitoring Influenza Epidemics in China with Search Query from Baidu.” PLoS ONE 8 (5): e64323. doi:10.1371/journal.pone.0064323. http://dx.doi.org/10.1371/journal.pone.0064323.
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Abstract: Several 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.
Published Version: doi:10.1371/journal.pone.0064323
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3667820/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11708653
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