Simplified models are valuable tools for several reasons. Firstly, they help researchers understand the basic mechanisms of disease spread. By focusing on key variables and relationships, these models provide insights that can inform public health interventions. Secondly, they allow for the testing of hypotheses and the evaluation of potential outcomes in a controlled environment. Lastly, simplified models are often computationally less intensive, making them accessible for quick analysis and decision-making.
