For the past few years, the CDC has not been the only place
to go for tracking incidences of the flu. Google has also been tracking illness
trends through identifying key search terms associated with illnesses like the
flu, allergies, and sunburns. Google claims to have found a close relationship
between the number of people who search for specific flu related topics, and the
number of people who actually have flu symptoms. By counting the search
queries, including specific terms, Google claims to be able to identify flu
trends in real time with good accuracy as compared to CDC data. See Google’s tracking
against the CDC data on one graph here.
This year, however, the Google model has varied from the
model that the CDC puts out each week. Both models can be seen in the National Journal article here.
The Google model shows that the U.S. is undergoing the most severe season in
years, while the CDC model shows that the severity of this year’s season is
still less than the H1N1 pandemic in 2009. So which model should be trusted?
Even though the Google model tracks in real time, a week ahead of the CDC
model, the National Journal suggests
that the CDC is more accurate.
The CDC model can control more factors than the Google
model. For example, if the CDC sees an increase in people going to their
doctors for flu-like illness without an increase in lab samples testing
positive for flu, it can look for signs of other respiratory viruses. The CDC
will also call the state labs or individual physicians to try to get to the
bottom of the discrepancy. Google,
without these resources, may be tracking other illnesses with symptoms similar
to the flu.
Still, the fact that the Google Trends model has been commonly
accepted as reliable has the CDC thinking. In the future, the CDC hopes to get
more information electronically and in real time. As more doctors get
Electronic Health Records, more information can be shared faster, without
taking up the valuable time of office workers. Electronic death certificates
may also work to improve the accuracy of the CDC’s flu mortality rate. No
matter how the information is transmitted, however, the CDC does not want to
give up the personal phone calls and conversations with state labs and local
physicians that help it identify odd or unusual patterns.
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