A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology
Document Type
Article
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences, Infectious diseases, Epidemiology
Abstract
Agent-based simulation modelling has been used in many epidemiological studies on infectious diseases. However, because agent based modelling is a field without any clear protocol for developing simulations the researcher is given a high amount of flexibility. This flexibility has led to many different forms of agent-based epidemiological simulations. In this paper we review the existing literature on agent-based epidemiological simulation models. From our literature review we identify key similarities and differences in the exisiting simulations. We then use these similarities and differences to create a taxonomy of agent-based epidemiological models and show how the taxonomy can be used.
DOI
https://doi.org/10.18564/jasss.3414
Recommended Citation
Hunter, E., Mac Namee, B. & Kelleher, J. D. (2017) 'A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology', Journal of Artificial Societies and Social Simulation 20 (3) 2 . doi: 10.18564/jasss.3414
Publication Details
Journal of Artificial Societies and Social Simulation (JASSS)