An international team led by Northeastern’s Alessandro Vespignani has developed a unique computational model that uses Twitter to project the spread of the seasonal flu in real time. With it, public health agencies can plan ahead, allocating medical resources and launching preventative care campaigns.
At the latest installment of the “Minds over Matters: NUterm Faculty Speaker Series,” Sternberg Family Distinguished University Professor Alessandro Vespignani described how his lab is able to predict the spread of a disease by tracking just one person.
College of Science professor Alessandro Vespignani, a world-renowned network scientist, is working to forecast the spread of the flu.
As news of the latest outbreak is upon us, Vespignani and his colleagues recently published an article in the journal BMC Medicine that offers definitive proof of a strong agreement between the predictions and the real-life surveillance data collected in 2009.