Fig. 4.

Overview of the MMODS approach: Embracing uncertainty to inform COVID-19 nonessential workplace reopening decisions using multiple models for outbreak decision support. Aggregate results ranked interventions consistently for specific objectives (e.g., minimizing cumulative infections) (A) even though the model-specific magnitude of projections varied greatly (B). Ensemble aggregate distributions quantify risk for decision makers and enable them to inform decisions in the context of resource limitations, such as the availability of hospital beds denoted by the vertical dotted line (C). An intermediate discussion between two rounds of independent model projections resolved inconsistencies in interpretation of intervention implementation as well as objective specification (D).