Research

ACCDMi researchers use data science, applied mathematics, and statistics to advance disease ecology modelling.

1. ONE Health and zoonotic infections

Projects: Avian influenza models, spillover risk, amphibian disease ecology.

2. Stochastic modelling, epidemic forecasting, and small jurisdictions

Projects: Inference for stochastic models, epidemic forecasting, spatial-temporal risk in small communities, outbreak modelling, stochastic control, and advocacy for small jurisdictions.

3. Dynamical systems and control in disease ecology

Projects: Hybrid dispersal models, imperfect vaccination, tumour models with therapy, seasonality and dispersal, and optimal control strategies.

4. Modelling education

Projects: Online outreach resources, local outreach events, and training workshops.