Fig 1.
A conceptual representation of the entire model.
Table 1.
Notations of model variables and parameters.
Fig 2.
A simple representation of health states and transmission dynamics in the physical sector of the model.
Fig 3.
A simple representation of the interaction between the model’s behavioral and physical sectors.
Table 2.
Parameter values.
Table 3.
Simulation experiments.
Fig 4.
Base run simulation absent major policy interventions other than limited reactive testing.
While the planned closure date is t = 90, the average of confirmed daily cases reaches the threshold for early closure at t = 43 and school closes.
Table 4.
Results of sensitivity analysis for uncertain parameters.
Fig 5.
Note: P1: More proactive and quick testing; P2: High mask use adoption; P3: Better risk communication with students; P4: Remote work for high-risk individuals.
Fig 6.
Non-linear incremental effects of policies: The effect of simultaneous implementation of multiple policies is more than sum of the effect of each policy (sum of the effects).
Note: P1: More proactive and quick testing; P2: High mask use adoption; P3: Better risk communication with students; P4: Remote work for high-risk individuals.
Fig 7.
Outcome measures for implementing all policies simultaneously in comparison to the base run scenario.
Fig 8.
Replication of data from Virginia Tech and estimation of parameters.