Title :
A large simulation experiment to test influenza pandemic behavior
Author :
Beeler, M.F. ; Aleman, D.M. ; Carter, M.W.
Author_Institution :
Dept. of Mech. & Ind. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
The effectiveness of mass vaccination and voluntary self-quarantine to mitigate pandemic influenza is tested in a large agent-based simulation. The characteristics of the pandemic - infectiousness, days contagious, and risk of death - are varied systematically along with the mitigation efforts in a five-factor designed experiment. A total of 243 distinct pandemic scenarios are tested. A range of two-way and three-way interaction effects are found that show significant non-linearities and contingencies in pandemic behavior and intervention effectiveness.
Keywords :
diseases; medical computing; multi-agent systems; agent-based simulations; days contagious characteristic; infectiousness characteristic; influenza pandemic behavior testing; intervention effectiveness; large simulation experiment; mass vaccination effectiveness; pandemic influenza mitigation; risk-of-death characteristic; three-way interaction effects; two-way interaction effects; voluntary self-quarantine effectiveness; Computational modeling; Data models; Educational institutions; Sociology; Statistics; Strain; Testing;
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2012 Winter
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-4779-2
Electronic_ISBN :
0891-7736
DOI :
10.1109/WSC.2012.6465285
