Model uncertainty refers to the doubt or lack of certainty about the correctness of a model and its predictions. This uncertainty can arise from various sources, including data limitations, assumptions, and the inherent complexity of biological systems. Itâs important to recognize and quantify these uncertainties to improve the robustness of epidemiological conclusions.
