We built Google Flu Trends as a complementary data source to the surveillance systems run by the CDC.
Google's Flu Trends looks at search terms to create real-time estimates of where the flu is flaring up.
Google Flu Trends was launched to the public in November 2008 as a new way to track flu activity.
Flu Trends estimates are locked after the current week is over, thus a similar effect is not seen for the Flu Trends time series.
Another engineer recently came up with Flu Trends, a service that determines flu outbreaks in the U.S. by scanning the searches people make for flu-related topics.
Google's Flu Trends, which monitors millions of queries submitted to the giant search engine for the occurrence of flu-related keywords, is at best contemporaneous with an outbreak.
Similar to ILINet, Flu Trends produces estimates of Influenza-like Illness.
Health professionals around the world already use online tools, such as Google Flu Trends, Health Map or Global Public Health Intelligence Network to track the spread of infectious diseases.
The Centers for Disease Control and Prevention (CDC), which tracks flu cases reported from local health departments, typically picks up on cases a couple of weeks after Google Flu Trends.
Since the 2009 model update, an update to the Flu Trends model has not been necessary because the model has performed well at both a national and regional level in the United States.
Every year, epidemiologists watch the flu trends moving across the globe and create a new vaccine based on what we expect to see in the US. This year, they had a good match.
During last year's flu season, Google Flu Trends picked up a significant rise in such search terms on January 28, 2008, and two weeks later the CDC saw a rise in cases reported from local health departments.
Vaccines are developed for polio, TB, AIDS, bird-flu and mad-cow type epidemics and pandemics that periodically threaten to envelop the world, with the feared trends actually resulting not in annihilation of the human species, but in an improvement in life expectancies.
应用推荐