{"id":{"repo_id":"hull","oai_identifier":"oai:hull-repository.worktribe.com:4211386"},"canonical_url":"https://search.dev.ndltd.org/etd/hull/oai:hull-repository.worktribe.com:4211386","repository":{"repo_id":"hull","name":"University of Hull","base_url":"https://hull-repository.worktribe.com/oaiprovider"},"display":{"title":"Using small world models to study infection communication and control","abstract":"The modelling of infection transmission has taken many forms: The simple Susceptible-Infected-Removed (SIR) model yields good epidemiological results, but is not well suited to the modelling of the application of interventions. Attention has focused in recent years on graph (network) models and especially on those exhibiting the small-world properties described by Watts and Strogatz in “Nature” in 1998. This thesis examines such graph models, discovering several attributes which may yield improved results. 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