In the context of epidemiology, an imbalanced dataset refers to a situation where the number of cases of a particular event (e.g., disease occurrence) is significantly lower or higher than the number of non-cases. This can pose challenges for statistical analysis, model building, and ultimately, the understanding of the disease in question.