Dr. Eric Stade, Professor of Mathematics and Director, Social Sciences, Mathematics, and Statistics FYAE
Sarah Arpin, Graduate Student, Department of Mathematics
We will begin by developing, from simple ideas, the iconic SIR (susceptible, infected, recovered) model in epidemiology. From there, we will discuss a variety of other factors, both natural and social, that affect the way disease is spread, and will consider how to build these other factors into our model. We will research Covid on small and large scales, and endeavor to develop models that reflect the behavior of this real-life epidemic faithfully.
Return to the Experimental Mathematics Lab.