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    The Wikipedia Pages You Read Could Help Predict Disease Outbreaks

    Scientists have found that tracking visits to Wikipedia articles about some diseases can spot when outbreaks are happening.

    Patterns in the Wikipedia pages that people around the world visit could help predict outbreaks of diseases, according to a new paper published today.

    Tracking disease outbreaks based on people's internet activity has already had some success — notably, Google's Flu Trends.

    They found that their model was able to accurately track Dengue fever outbreaks in Brazil and Thailand, influenza outbreaks United States, Poland, Japan, and Thailand, and tuberculosis in Thailand and China.

    Despite some of the drawbacks of the approach, though, the researchers think the technique shows promise.