This paper uses a mathematical optimization procedure to find optimal social distancing strategies under a wide range of scenarios.
This paper uses the Robust Decision Making approach to stress-test California's COVID-19 reopening strategy considering a range of uncertainties.
This essay discusses the need to account for behavioral adaptation in COVID-19 models.
We 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 reopening strategies.
We analyzed what could happen with COVID-19 deaths in the United States if restrictions all go away on July 4. Fully reopening the economy before Biden's vaccination target was met doubled the average number of COVID-19 deaths between Independence Day and the end of the year.
This paper documents our COVID-19 transmission model and explores the performance of periodic NPI strategies.
This model and tool helps local decision makers understand the impacts of Nonpharmaceutical interventions to tackle COVID-19.