Perplexity measures the uncertainty or unpredictability in a set of data. In epidemiology, this can translate to the unpredictability in the patterns of disease spread, the effectiveness of interventions, and the variability in health outcomes. It is often used to quantify how well a probabilistic model predicts a sample.
