Monitoring influenza epidemics in china with search query from baidu.

Monitoring influenza epidemics in china with search query from baidu.

Blog Article

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 Candida 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 HAND SOAP MEYER LEMON 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.