Researchers used the Clinical and Economic Analysis of COVID-19 interventions (CEACOV) model to analyze mitigation strategies. They evaluated 24 mitigation strategies based on four approaches: social distancing, mask-wearing policies, isolation, and laboratory testing. The team compared results from a minimal social distancing program, in which only large gatherings such as sporting events or concerts were canceled, and an extensive social distancing program, where all large classes and 50 percent of smaller classes were delivered online. Laboratory testing ranged from no testing of asymptomatic students and faculty to routine testing at 14-, 7-, or 3-day intervals. Based on the model, combining a mandatory mask-wearing policy with extensive social distancing would prevent 87 percent of infections among students and faculty. Routine testing was also found to be highly effective at preventing infections in the model but may be cost-prohibitive for many colleges and universities.