Netwerken en virussen

After the corona pandemic, we all know the importance and treacherousness of exponential growth, and that it is important that r-values are below 1. But besides these virus statistics, there is another important element: What is the underlying network of social contacts on which the virus spreads? And what are the mathematical properties of this network? What network structures make it easier for an epidemic to spread? And how exactly can we use this to stop an epidemic? In this lecture we see how graph theory, probability calculation and differential equations help to understand or combat epidemics.

Clara Stegehuis is associate professor at the University of Twente. She works at the intersection of probability, graph theory and stochastic networks, with emphasis on asymptotic analysis, stochastic process limits and randomized algorithms. The problems she investigates are inspired by applications in network science, physics and computer science.