Traditional models may not always capture the complexity of real-world disease transmission. Alternative models can provide a more nuanced understanding by:
Incorporating heterogeneity in populations Considering various levels of disease exposure Utilizing computational power for more detailed simulations Adapting to specific diseases and their unique characteristics
