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Large-scale worm infestations, such as last year's Code Red, Code Red II, and Nimda, have led to increased interest in modeling these events to assess threat levels, evaluate countermeasures and investigate possible influence on the Internet infrastructure. However the inherently large scale of these phenomena pose significant challenges for models that include infrastructure detail. We explore the use of selective abstraction through epidemiological models in conjunction with detailed protocol models as a means to scale up simulations to a point where we can ask meaningful questions regarding a hypothesized link between worms and inter-domain routing instability. We find that this approach shows significant promise, in contrast to some of our early attempts using all-out packet level models. We also describe some approaches we are taking to collect the underlying data for our models.