Shuffling in the context of epidemiology refers to the method of rearranging or reordering data points within a dataset. This technique is often used to test the robustness of epidemiological models, to ensure randomness, or to perform certain statistical analyses. Shuffling can help researchers understand the underpinnings of disease spread and the effectiveness of various control measures.