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Using Social Media to Predict and Track Disease Outbreaks

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Using Social Media to Predict and Track Disease Outbreaks

Abstract and Introduction

Introduction


It's winter, flu season, and you're at your computer feeling a bit woozy, with an unwanted swelling in the back of your throat and a headache coming on. If you're like millions of other people, you might engage in a moment of Internet-enabled self-diagnosis. You pop your symptoms into a search engine, and in the blink of an eye dozens of health-related websites appear on your screen. That search supplied you with information—some useful and some not—but in today's hyper-connected world, it also supplied a data point for those who survey disease outbreaks by monitoring how people report symptoms via social media. In fact, social media, cell phones, and other communication modes have opened up a two-way street in health research, supplying not just a portal for delivering information to the public but also a channel by which people reveal their concerns, locations, and physical movements from one place to another.

That two-way street is transforming disease surveillance and the way that health officials respond to disasters and pandemics. It's also raising hard questions about privacy and about how data streams generated by cell-phone and social-media use might be made available for health research. "There's a challenge here in that some of these [data] systems are tightening in terms of access," says John Brownstein, director of the computational epidemiology group at Children's Hospital Boston and an associate professor of pediatrics at Harvard Medical School. "But we are seeing a movement towards data philanthropy in that companies are looking for ways to release data for health research without risking privacy. And at the same time, government officials and institutions at all levels see the data's value and potential. To me, that's very exciting."

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