Stochastic Epidemic Models with Varying Infectivity and Susceptibility

Explore a 53-minute research seminar presented by Dr. Helene Guerin from UQAM (Université du Québec à Montréal) examining stochastic epidemic models that incorporate varying levels of infectivity and susceptibility. Delivered as part of the Stochastic Systems for Anomalous Diffusion (SSD) programme at the Isaac Newton Institute, gain insights into mathematical approaches for modeling disease spread with heterogeneous population characteristics. Participate in this advanced mathematical sciences discussion that bridges theoretical frameworks with practical applications in epidemiology, hosted in the prestigious INI Seminar Room 2 on July 23rd, 2024.