Study offers new approach for more accurate epidemic modeling

“Standard epidemiological models rely on the presumption of strong mixing between infected and non-infected individuals, with widespread contact between members of those groups,” said co-author Tryphon Georgiou, UCI Distinguished Professor of mechanical & aerospace engineering. “We stress, rather, that transmission occurs in geographically concentrated cells. Therefore, in our view, the use of fractional exponents helps us more accurately predict rates of infection and disease spread.”