Sensitivity analysis is a methodological approach used to systematically study how the variation in the output of a mathematical model or system can be apportioned to different sources of variation in its inputs. It investigates the relationship between input parameters and model outcomes, identifying which factors have the most significant influence and assessing the robustness and reliability of the model's predictions under varying conditions.