Tarek Alrefae: Real-time inference of reproduction numbers in heterogeneous populations

DPhil student Tarek Alrefae tells us about his research on real-time inference of reproduction numbers in heterogeneous populations.
Tarek studies real-time inference of reproduction numbers in heterogeneous populations. His research bridges traditional compartmental models, which oversimplify disease spread, and detailed individual-based models, which are impractical during outbreaks. By incorporating key heterogeneities from IBMs into compartmental models, he aims to enhance outbreak modelling and intervention strategies.
This presentation was recorded in October 2024, for NDM-Centre for Global Health Research Day.