Papers › SARS-CoV-2 Transmission in University Classes
SARS-CoV-2 Transmission in University Classes
William Ruth, Richard Lockhart
The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.
We investigate transmission dynamics for SARS-CoV-2 on a real network of classes at Simon Fraser University, a medium-sized school in Western Canada. Outbreaks are simulated over the course of one semester across numerous parameter settings for a realistic compartment model, including asymptomatic and presymptomatic transmission. We investigate the control strategy of moving large classes online while small classes are allowed to meet in person. Regression trees are used to model the effect of disease parameters on simulation outputs; specifically, the total number of infections and the peak number of simultaneous cases. We find that an aggressive class size thresolding strategy is required to mitigate the risk of a large outbreak, and that transmission by symptomatic individuals is a key driver of outbreak size,
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections