This item is available under a Creative Commons License for non-commercial use only
Applied mathematics, Computer Sciences, Infectious diseases, Epidemiology
There are two main methods that are used to model the spread of an infectious disease: agent-based modelling and equation based modelling. In this paper, we compare the results from an example implementation of each method, and show that although the agent-based model takes longer to setup and run, it provides additional information that is not available when using an equation based model. Specifically, the ability of the agent-based model to capture heterogeneous mixing and agent interactions enables it to give a better overall view of an outbreak. We compare the performance of both models by simulating a measles outbreak in 33 different Irish towns and measuring the outcomes of this outbreak.
Hunter, Elizabeth, Mac Namee, Brian and Kelleher, John D. (2018) 'A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology' 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2018 .