Benchmark Results for Epidemic Spread Modeling Across 493 Test Problems

Abstract

Despite sustained attention from the research community, epidemic spread modeling remains difficult to study outside well-funded laboratories. Our protocol combines graph-theoretic estimation with a lightweight validation pipeline designed to be reproducible by student laboratories. The proposed approach improves on the strongest baseline by 23% while reducing computational cost. We release our data and code to support replication by other student researchers.