  We develop an agent-based model on a network meant to capture features unique
to COVID-19 spread through a small residential college. We find that a safe
reopening requires strong policy from administrators combined with cautious
behavior from students. Strong policy includes weekly screening tests with
quick turnaround and halving the campus population. Cautious behavior from
students means wearing facemasks, socializing less, and showing up for COVID-19
testing. We also find that comprehensive testing and facemasks are the most
effective single interventions, building closures can lead to infection spikes
in other areas depending on student behavior, and faster return of test results
significantly reduces total infections.
