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Today’s global mapping of infectious diseases is considerably unreliable and may do little to inform the control of potential outbreaks, according to a study produced at a National Institute for Mathematical and Biological Synthesis (NIMBioS) workshop held on UT’s campus. Social media could help. Using crowdsourcing techniques to gather data, such as analyzing the content and frequency of Twitter messages about disease, predicted outbreaks sooner than traditional disease surveillance methods. To read more, visit NIMBioS website.