Researchers from Kansas State University say that a new risk assessment model for Ebola transmission accurately predicted the disease’s spread into the Republic of Uganda, opening the possibility of a better means of predicting disease spread.

“This is a very new type of model,” Caterina Scoglio, a professor from the KSU College of Engineering, said. “Since we consider movement data in addition to constant contacts, we saw that not only are the districts directly bordering Congo at risk but that the districts on the path to some important Ugandan destinations also are at risk.”


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