2013 Flu Trends Map is Red: Where Does Google Get Symptom Information?

The Flu Trends map shows intense flu activity - how does Google know that? Image of Google Maps by VLN

The Flu Trends map shows intense flu activity – how does Google know that? Image of Google Maps by VLN

Google’s Flu Trends map is almost solid red, indicating intense flu activity across the entire United States in early January, 2013. How does a search engine gather data on flu symptoms? It’s a process called data mining, and they’ve used it before – namely during the 2009 Swine Flu pandemic.

Flu Trends: Map Shows Disease Spread

During an epidemic, information on how and where the disease is spreading is valuable to health providers and potential victims alike. Predicting where the disease is breaking out helps to ensure availability of treatment and medicine for patients, and tells us when to stay home rather than going to a crowded public area. Google developed a system in 2009, in response to the H1N1 pandemic of 2009, to analyze search queries for certain flu-related terms. They use the terms to determine whether or not the swine flu has spread to a certain area through the use of data mining, and natural language processing.

Flu Symptoms Search: Data Mining and Natural Language Processing

Data mining – most of us have heard the term before, but usually in the context of marketing. For example, social media sites may use a computer to sift through your activities online to provide the most customized advertising to you as a consumer. When we sift through large sets of data to pull out valuable information, (information which is typically not tied to a specific user or consumer,) that is called data mining.

In the case of flu symptom maps, Google analyzes search queries with natural language processing (comparing text or speech to derive meaning). The search giant uses natural language processing in day-to-day business for a number of purposes, including behavioral advertising, in which advertisements are directed toward individuals based on their search history. The search engine can also use the search information gathered for this purpose for other, less profitable, purposes, however – in this case, the Google Flu Trends map.

By scanning search queries for common flu symptoms, Google can determine whether there are increasing numbers of searches that may be due to actual flu symptoms. Associating those queries with the IP address of the source computer allows Google to associate the queries with a geographical location. The combination of these two types of information processing shows increasing or decreasing flu activity in different areas around the world. Right now, unfortunately, the Google Flu Map is showing intense activity for the majority of the United States.

Saving Lives with AI Applications

While Google’s information is incomplete and imperfect, this use of artificial intelligence technology may save lives as the 2013 flu spreads. Although Tamiflu and vaccine shortages are complicating health care providers’ efforts to combat and prevent flu symptoms, preparation is still key in responding to any health crisis.


Google. Flu Trends. (2013). Accessed January 11, 2013.

© Copyright 2013 Victoria Nicks, All rights Reserved. Written For: Decoded Science
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  1. Marv says

    I spotted the early flu season on flu trends a few weeks ago and ran out and got my flu shot. Normally the flu peaks in Feb or Mar. This is a really useful tool.

  2. Anonymous says

    ah yes, the beauty of ignorance. Get the flu shot, get the flu shot! remove your bodies’ ability to fight the virus off naturally. Oh its alright I’ll just get the flu shot next year. And the year after that. and twenty years from now I’ll be part of the 39% of people the flu shot doesn’t help, then I’ll be one of the people you hear about dying from it.. cause I took the easy way out my entire life and never let my body adapt.
    NO, thanks, I wont take the flu shot, I’ll let my body learn to fight off this new variation of the thing it’s been fighting for years. Haven’t had a problem yet.
    remember folks; it’s Firefox add-ons>ad block>block google analytics
    you don’t need them taking your personal info or records of what sites you visit.
    they take info like this above separately. Cant stop that unless you dont use google.

  3. Carol R says

    Until any app can have any meaning in reality, they need to correlate with other data. Using ANY of this data on a first run without years of research & cross-referencing may lead to over or under-treatment, and even further worry, or even mass-hysteria-like thinking.

  4. says

    Why are so many getting the flu. Why are we not protecting ourselves better here! Wash your hands, eat healthy, and get the flu shot. It getting crazy out there with this pandemic!!!

    • says

      I still think the Flu Pandemic is MUCH worse than what they are reporting.
      Imo, that is partly what this anti-gun BS and Lance Armstrong BS and that football guy with the fake dead girlfriend BS on the news is all about. We have discovered almost every single time when reporting like this happens, usually months or years later, that “something was going on” that “someone” didn’t want people to know about. (usually ‘the Government’, some alphabet soup agency within the Government, and/or rogue elements inside and outside of the Government) And I don’t mean they are doing something “good”.
      Of course, that is a “conspiracy theory” so you can immediately dismiss it and not think about it or consider it or look into it in the IRRATIONAL way that we have been “taught” (brainwashed) to do.
      I hope I’m wrong about the Flu, but when (at least) TWO healthy, older teenagers “die because of the flu”, that is not a good sign. Not good at all. It could be an aberration, but if it’s not, then lookout.
      Supposedly they didn’t actually “die of the flu” — they died from pneumonia or something else IMMEDIATELY after they had the flu — also not good. So how many deaths by pneumonia are not being reported as “flu deaths”, etc… So they can accidentally or purposely make the numbers look lower than what they really are.
      We’ll see, one way or another, in the next few months.

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