Google Flu Trends: Spatial Correlation with Influenza Emergency Department Visits | Zendy

Joseph Jeffrey Klembczyk | Zendy; Mehdi Jalalpour | Zendy; Scott Levin | Zendy; Raynard Washington | Zendy; Jesse M. Pines | Zendy; Richard E. Rothman | Zendy; Andrea Dugas | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Google Flu Trends: Spatial Correlation with Influenza Emergency Department Visits

Author(s) -

Joseph Jeffrey Klembczyk,

Mehdi Jalalpour,

Scott Levin,

Raynard Washington,

Jesse M. Pines,

Richard E. Rothman,

Andrea Dugas

Publication year - 2015

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v7i1.5753

Subject(s) - emergency department , medicine , medical emergency , computer science , data mining , geography , psychiatry

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research