We develop data-driven models and novel computational tools to investigate disease dynamics and understand the mechanisms that facilitate or hinder the spread of emerging or known pathogens, and ultimately inform the most effective, cost-effective, and equitable public health interventions and program delivery.
Diverse research projects at the ABM-Lab investigate:
- effects of heterogeneity and stochasticity in the spread of infectious diseases
- effectiveness and cost-effectiveness of intervention strategies
- behavioural responses and compliance with public health measures
- burden of vaccine-preventable diseases
- machine learning methods and epidemiology-informed neural networks for parameter estimation
Visit our Publications for details of research questions and methods we develop and apply to address them. For example, video below shows our projections for the number of COVID-19 deaths in New York City from a highly detailed agent-based model.
Collaborations
The ABM-Lab collaborates with several internationally renowned research centres, including:
Center for Infectious Disease Modeling and Analysis
Fields Institute Network of Mathematics for Public Health
Center for Vaccine Development and Global Health