Parameter uncertainty in dynamical models: a practical identifiability index
This study introduced the Practical Identifiability Index (PII) to diagnose parameter uncertainty in ordinary differential equation models used for growth and epidemic simulations. The PII measures marginal uncertainty by calculating the logarithmic span of confidence intervals for individual parameters. It provides a simple metric to compare how well different parameters are constrained across various model types and data conditions.