Infection Model
The
Repast-infection-model
is an example of an
Agent-Based Simulation Infection Model
implemented in the
well-known
Repast Simphony
agent-based simulation toolkit. Agent-based simulation is a highly useful
technique that
allows individuals and their behaviours to be represented as they interact over time. This means, with appropriate data, agent-based simulation can be used to
study
various socio-medical phenomena such as the spread of disease and infection in a population.
The aim of this demonstration model is to show how a science gateway could support the study of the spread of disease or infection in a population. As well as having direct healthcare application, it can also be used in the field of health economics to study the cost effectiveness of various infection preventive strategies.
Within the science gateway, the Repast-infection-model has been deployed in a portlet named myRepast-infection-portlet . This has been developed to enable users to submit experiments with different input parameters and to obtain results. As well as the results output file, the application also has a demonstration graph tool that allows users to see the graphical visualisation of the results. This shows that science gateways can be developed to support online complex simulations in an extremely easy to use manner. See the Sci-GaIA project web pages for educational modules on how to implement these applications as well as how science gateways and data repositories can be used to support Open Science.
Click on the icon below to access the application
References
Macal and North's 2014 paper on agent-based modelling & simulation for moredetails in the areaFreely available at this
link
Perez and Dragicevic's 2009 paper on an agent-based approach for modeling thedynamics of contagious disease spreadFreely available
at this
link