The importance of model validation lies in its ability to provide confidence that the model's predictions are trustworthy. Without proper validation, there is a risk of making erroneous conclusions that can lead to ineffective or even harmful public health interventions. Validation helps in identifying the strengths and limitations of a model, guiding improvements, and ensuring that the model is fit for its intended purpose.