000000427 001__ 427
000000427 005__ 20161201145019.0
000000427 0247_ $$a10.15169/sci-gaia:1480603610.4
000000427 037__ $$aLESSONSSCIGAIA-2016-029
000000427 041__ $$aeng
000000427 043__ $$alesson
000000427 100__ $$aAdedeji Fabiyi
000000427 245__ $$aWACREN e-Research Hackfest: Investigating a Science Gateway for an agent-based simulation application using Repast
000000427 260__ $$c2016-11-22
000000427 300__ $$amult. p
000000427 500__ $$bcc-by-nc-sa
000000427 520__ $$aThe 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 that, 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. In this lecture we 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.
000000427 536__ $$cSci-GaIA - Energising Scientific Endeavour through Science Gateways and e-Infrastructures in Africa
000000427 6531_ $$aSci-GaIA
000000427 6531_ $$aAgent-based simulation
000000427 6531_ $$aRepast
000000427 6531_ $$aScience Gateway
000000427 6531_ $$aWACREN e-Research Hackfest
000000427 700__ $$aSimon J. E. Taylor
000000427 700__ $$aAnastasia Anagnostou
000000427 8560_ $$froberto.barbera@ct.infn.it
000000427 8564_ $$s3944507$$uhttp://oar.sci-gaia.eu/record/427/files/LESSONSSCIGAIA-2016-029.pptx
000000427 980__ $$aLESSONSSCIGAIA