Public health decision making with stochastic individual-based models: a translational framework driven by advances in health economics, model inference and reinforcement learning (ACCELERATE) Hasselt University
This project proposes a methodological framework in the context of respiratory pathogens with pandemic potential, based on historical data of SARS-CoV-2. Clustered social contact patterns have been pivotal in combination with stochasticity to explain disease spread and heterogeneous behaviour. Therefore, we focus on mathematical models that accommodate heterogeneity in infection acquisition and additional randomness at the individual level. ...