Literature DB >> 26310351

[Google Flu Trends--the initial application of big data in public health].

Xiaohui Zou1, Wenfei Zhu1, Lei Yang1, Yuelong Shu2.   

Abstract

Google Flu Trends (GFT) was the first application of big data in the public health field. GFT was open online in 2009 and attracted worldwide attention immediately. However, GFT failed catching the 2009 pandemic H1N1 and kept overestimating the intensity of influenza-like illness in the 2012-2014 season in the United States. GFT model has been updated for three times since 2009, making its prediction bias controlled. Here, we summarized the mechanism GFT worked, the strategy GFT used to update, and its influence on public health.

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Year:  2015        PMID: 26310351

Source DB:  PubMed          Journal:  Zhonghua Yu Fang Yi Xue Za Zhi        ISSN: 0253-9624


  1 in total

1.  Joint Registration System under the Background of Big Data.

Authors:  Run Tian; Pei Yang; Kun-Zheng Wang
Journal:  Chin Med J (Engl)       Date:  2017-11-05       Impact factor: 2.628

  1 in total

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