| Literature DB >> 35837515 |
Pedro Nascimento de Lima, Raffaele Vardavas, Lawrence Baker, Jeanne S Ringel, Robert J Lempert, Carolyn M Rutter, Jonathan Ozik.
Abstract
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 article presents the general lessons learned from these experiments and discusses four characteristics of the best reopening strategies.Entities:
Keywords: California; Coronavirus Disease 2019 (COVID-19); Epidemiology; Modeling and Simulation; Pandemic; Public Health Preparedness; Robust Decision Making
Year: 2022 PMID: 35837515 PMCID: PMC9242558
Source DB: PubMed Journal: Rand Health Q ISSN: 2162-8254