The Department of Applied Mathematics weekly seminar is given by scholars and researchers working in applied mathematics, broadly interpreted.
Title: Mathematical models to untangle infectious disease dynamics across scales
Abstract: Infectious diseases are complex systems across many scales. In this talk, I will use mathematical models to investigate a range of cross-scale questions in infectious disease dynamics, from immuno-epidemiology, to pathogen evolution, and to behavioral-epidemiology. I will begin by examining potential future SARS-CoV-2 transmission dynamics, landscapes of immunity, and the effects of vaccination. I will then use mathematical models to examine pathogen evolutionary dynamics, and to study individual decision-making and its effect on epidemiological dynamics (and vice-versa). Overall, I will provide a broad overview to highlight the use of mathematical models in infectious disease epidemiology.