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 more
details in the area
Freely available at this link

Perez and Dragicevic's 2009 paper on an agent-based approach for modeling the
dynamics of contagious disease spread
Freely available at this link