Modeling and simulating the propagation of infectious diseases using complex networks
For explanation and prediction of the evolution of infectious diseases in populations, researchers often use simplified mathematical models for simulation. We believe that the results from these models are often questionable when the epidemic dynamics becomes more complex, and that developing more r...
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Georgia Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1853/24827 |