Accurate parameter tuning is essential to ensure that epidemiological models provide reliable outputs. Poorly tuned models can lead to erroneous conclusions, which can have dire consequences for public health planning and response. For instance, incorrect estimates of the basic reproduction number (R0) can lead to either overestimation or underestimation of the disease spread, affecting resource allocation and intervention strategies.
