Minisymposium (ID: SS-MID)

Modelling Infectious Disease and Pathogen Evolution

Marwa Tuffaha (York University), and Jane Heffernan (York University)

In an increasingly interconnected world, infectious diseases spread rapidly and evolve in response to interventions such as vaccination and treatment. Mathematical modelling provides a framework to integrate data across scales, from within-host dynamics to population-level transmission, and to explore how heterogeneity in behaviour, immunity, and environment shapes disease outcomes. These tools are critical for anticipating outbreaks, evaluating control strategies, and understanding the emergence of new variants. Early career researchers are driving innovation in this field by developing multi-scale models, incorporating diverse data sources, and improving methods to quantify uncertainty. This session highlights their contributions, demonstrating how such approaches can enhance predictive capacity and support evidence-based public health and medical decision-making.

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