Faculty of Science - Mathematics and Statistics News

FTA: "In the past, researchers have used various modeling techniques--including reaction-diffusion models, simulation models, and temperature-driven maps -- in attempts to better understand Lyme disease. In a paper publishing on Thursday, April 20 in the SIAM Journal on Applied Dynamical Systems, Xiunan Wang and Xiao-Qiang Zhao present a periodic time-delayed model of Lyme disease that incorporates seasonality and climate factors."