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EpiWorld grounds LLM policy agents in a learned action-conditioned epidemiological world model and a tiered skill library for epidemic intervention planning. The closed-loop framework reduces cumulative hospitalisation by up to 59% across COVID-19 and Influenza datasets, outperforming reinforcement-learning and optimal-control baselines.