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  • 标题:Google Flu Trends: Spatial Correlation with Influenza Emergency Department Visits
  • 作者:Joseph Klembczyk ; Mehdi Jalalpour ; Scott Levin
  • 期刊名称:Online Journal of Public Health Informatics
  • 电子版ISSN:1947-2579
  • 出版年度:2015
  • 卷号:7
  • 期号:1
  • 语种:English
  • 出版社:University of Illinois at Chicago
  • 摘要:Google Flu Trends (GFT) is an internet search query-based application that has been proven to add value to influenza surveillance and forecasting tools. Previous validation studies have focused on national or regional predictions. While these results have been promising, GFT has yet to be extensively validated at the city level. The AHRQ has provided weekly data for influenza-related emergency room visits across 19 cities. Correlation coefficients with city-level GFT range from .67 to .93 with a median of .84. Characterizing the effectiveness of GFT at the local level is crucial to its integration into new surveillance and prediction tools.
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