Several approaches can be used to model heterogeneous mixing patterns:
Contact Matrices: These matrices represent the contact rates between different subgroups within a population. For example, a contact matrix might show how frequently individuals of different ages interact. Network Models: These models use graph theory to represent individuals as nodes and their interactions as edges. This allows for more detailed representation of complex contact patterns. Agent-Based Models: These models simulate the actions and interactions of individual agents to assess their effects on the system as a whole. They are particularly useful for capturing heterogeneity in behavior and contact patterns.
