Influenza forecasting with Google Flu Trends

We developed a practical influenza forecast model based on real-time, geographically focused, and easy to access data, designed to provide individual medical centers with advanced warning of the expected number of influenza cases, thus allowing for sufficient time to implement interventions. Secondl...

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Bibliographic Details
Published in:	PloS one Vol. 8; no. 2; p. e56176
Main Authors:	Dugas, Andrea Freyer, Jalalpour, Mehdi, Gel, Yulia, Levin, Scott, Torcaso, Fred, Igusa, Takeru, Rothman, Richard E
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 14-02-2013 Public Library of Science (PLoS)
Subjects:	Adult Analysis Atmospheric models Autoregressive moving average Biology Child Computer Science Development and progression Disease Outbreaks Emergency medical care Emergency preparedness Engineering Engineering schools Epidemics Forecast accuracy Forecasting Health care facilities Humans Humidity Influenza Influenza, Human - epidemiology Linear Models Medical centers Medicine Meteorological data Model accuracy Models, Biological Mortality Outbreaks Parameter estimation Population Surveillance Predictions Rain Real time Search Engine - methods Search engines Seasons Statistical analysis Statistical models Statistical significance Surveillance Time series Trends Variables Viruses Weather United States > US Maryland Baltimore Maryland
Online Access:	Get full text
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