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Study: Google Flu Trends Less Effective Than CDC

by Heather Mayer, DOTmed News Reporter | May 17, 2010
CDC beats google
in tracking flu trends
Google Flu Trends, a program used to estimate U.S. influenza-like illnesses (ILI) rates from Internet searches, is not as accurate at estimating rates of laboratory-confirmed influenza as the Centers for Disease Control and Prevention (CDC) national surveillance programs, according to a University of Washington study released today.

The study is a response to a Google study that was published in Nature in 2009, lead researcher Jason Ortiz told DOTmed News.

"Google Flu Trends, clearly I think, made a tremendous contribution to public health. What we did is in no way 'gotcha' or to try to undermine their contribution," Ortiz said. "In general, influenza surveillance is a difficult thing to accomplish because there are so many objectives to survey, and it's hard to meet all of those objectives with one system."
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In order to study the accuracy of Google Flu Trends, the researchers studied the incidence of flu outbreaks in the United States between 2003 and 2008. They found that Google Flu Trends strayed the most from CDC surveillance for positive flu tests during the 2003-2004 flu season. That year was particularly notable for early and intense influenza activity, and there was a great deal of media attention to influenza during that year, the report said.

"It's possible that during periods of panic or anxiety about influenza infection, people's Internet searches change," Ortiz said. "If that's the case, Google Flu Trends would deviate more from [normal] behavior."

Influenza data were gathered from Google Flu Trends, the CDC Outpatient ILI Surveillance Network (CDC ILI Surveillance) and the U.S. Influenza Virologic Surveillance System (CDC Virologic Surveillance). The study found that Google Flu Trends was 25 percent less accurate at estimating lab-confirmed influenza virus infection.

In fact, studies have shown that ILI is only caused by the influenza virus in 20 to 70 percent of flu season cases, according to the report.

ILI is defined as a non-specific combination of flu-like symptoms, including a fever with a cough or sore throat, lacking any laboratory testing.

Ortiz pointed out that it might not always be necessary to differentiate between influenza and ILI.

"It depends on your system," he said. "In some places [differentiating the two types of illnesses] may not be important."

In order to track ILI trends, Google Flu Trends uses the popularity of certain Google search entries in real time to estimate nationwide rates of ILI activity. But these results can't determine whether a person is actually sick.