Format

Send to

Choose Destination
PLoS One. 2013 May 30;8(5):e64323. doi: 10.1371/journal.pone.0064323. Print 2013.

Monitoring influenza epidemics in china with search query from baidu.

Author information

1
Management School, University of Chinese Academy of Sciences, Beijing, China. Qingyu.Yuan@childrens.havard.edu

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.

PMID:
23750192
PMCID:
PMC3667820
DOI:
10.1371/journal.pone.0064323
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Public Library of Science Icon for PubMed Central
Loading ...
Support Center