  Since the early months of 2020, non-pharmaceutical interventions (NPIs) --
implemented at varying levels of severity and based on widely-divergent
perspectives of risk tolerance -- have been the primary means to control
SARS-CoV-2 transmission. We seek to identify how risk tolerance and vaccination
rates impact the rate at which a population can return to pre-pandemic contact
behavior. To this end, we develop a novel feedback control method for
data-driven decision-making to identify optimal levels of NPIs across
geographical regions in order to guarantee that hospitalizations will not
exceed a given risk tolerance. Results are shown for the state of Colorado, and
they suggest that: coordination in decision-making across regions is essential
to maintain the daily number of hospitalizations below the desired limits;
increasing risk tolerance can decrease the number of days required to
discontinue NPIs, at the cost of an increased number of deaths; and if
vaccination uptake is less than 70\%, at most levels of risk tolerance, return
to pre-pandemic contact behaviors before the early months of 2022 may newly
jeopardize the healthcare system.
