Understanding the spread of infectious diseases in space and time.
Agent-based modelling (ABM) can make a real contribution to understanding the spread of infectious diseases in space and time. The fact that ABMs are intrinsically spatial and allow for combined modelling of pathogen and human behaviour has contributed to their popularity over the past years. Our research in this domain focusses on three aspects:
- Human risk perception and behaviour change
- Reproduction of spatio-temporal patterns
- The integration of ABM and Machine Learning.