Benchmark Results for Epidemic Spread Modeling Across 474 Test Problems

Abstract

This study revisits epidemic spread modeling through the lens of graph-theoretic analysis. Using equipment available in most teaching laboratories, we replicate and extend prior findings across 3631 experimental runs. Results show a 19% gain in accuracy alongside a marked reduction in variance between replicates. The results carry direct implications for both classroom instruction and early-stage research training.