Apr 26, 2021
The coronavirus disease 2019 (COVID-19) pandemic required significant public health interventions from local governments. To help in those decisions, researchers used the Robust Decision Making approach to stress-test California's COVID-19 reopening strategy. This Perspective presents lessons learned from these experiments and outlines four characteristics of the best strategies.
The coronavirus disease 2019 pandemic required significant public health interventions from local governments. Early in the pandemic, RAND researchers developed a decision support tool to provide policymakers with insight into the trade-offs they might face when choosing among nonpharmaceutical intervention levels. Using an updated version of the model, the researchers performed a stress-test of a variety of alternative reopening plans, using California as an example. This Perspective presents the general lessons learned from these experiments and discusses four characteristics of the best reopening strategies.