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1. Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks - results for 2009-10.

Authors: A Valdivia; J Lopez-Alcalde; M Vicente; M Pichiule; M Ruiz; M Ordobas
Journal: Euro Surveill Date: 2010-07-22

2. Interpreting Google flu trends data for pandemic H1N1 influenza: the New Zealand experience.

Authors: N Wilson; K Mason; M Tobias; M Peacey; Q S Huang; M Baker
Journal: Euro Surveill Date: 2009-11-05

3. "Google flu trends" and emergency department triage data predicted the 2009 pandemic H1N1 waves in Manitoba.

Authors: Mohammad Tufail Malik; Abba Gumel; Laura H Thompson; Trevor Strome; Salaheddin M Mahmud
Journal: Can J Public Health Date: 2011 Jul-Aug

4. Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010.

Authors: A Hulth; G Rydevik
Journal: Euro Surveill Date: 2011-05-05

5. Big data. The parable of Google Flu: traps in big data analysis.

Authors: David Lazer; Ryan Kennedy; Gary King; Alessandro Vespignani
Journal: Science Date: 2014-03-14 Impact factor: 47.728

6. Interim analysis of pandemic influenza (H1N1) 2009 in Australia: surveillance trends, age of infection and effectiveness of seasonal vaccination.

Authors: H Kelly; K Grant
Journal: Euro Surveill Date: 2009-08-06

7. Google Flu Trends in Canada: a comparison of digital disease surveillance data with physician consultations and respiratory virus surveillance data, 2010-2014.

Authors: L J Martin; B E Lee; Y Yasui
Journal: Epidemiol Infect Date: 2015-07-02 Impact factor: 2.451

8. Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic.

Authors: Samantha Cook; Corrie Conrad; Ashley L Fowlkes; Matthew H Mohebbi
Journal: PLoS One Date: 2011-08-19 Impact factor: 3.240

9. Emergency department and 'Google flu trends' data as syndromic surveillance indicators for seasonal influenza.

Authors: L H Thompson; M T Malik; A Gumel; T Strome; S M Mahmud
Journal: Epidemiol Infect Date: 2014-01-20 Impact factor: 4.434

10. Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales.

Authors: Donald R Olson; Kevin J Konty; Marc Paladini; Cecile Viboud; Lone Simonsen
Journal: PLoS Comput Biol Date: 2013-10-17 Impact factor: 4.475

10 in total

1 in total

1. Computational Forecasting Methodology for Acute Respiratory Infectious Disease Dynamics.

Authors: Daniel Alejandro Gónzalez-Bandala; Juan Carlos Cuevas-Tello; Daniel E Noyola; Andreu Comas-García; Christian A García-Sepúlveda
Journal: Int J Environ Res Public Health Date: 2020-06-24 Impact factor: 3.390

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