Modeling and global sensitivity analysis of strategies to mitigate covid-19 transmission on a structured college campus

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SUMMARY

    The authors perform a global sensitivity analysis of model behavior-cumulative number of infections at the end of the semester and infection doubling time-and consider the first-and total-order effect of epidemic parameters and social contact behavior. Note that all the subpopulations are coupled through the force of infection, Fi, where an individual in any subpopulation can be infected by any infectious individual in the campus population or through an infectious member of the community. The largest effect on cumulative infections, from up to 1% of the population that is initially infectious . . .

     

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