Unknown

Dataset Information

0

Reopening California: Seeking robust, non-dominated COVID-19 exit strategies.


ABSTRACT: The COVID-19 pandemic required significant public health interventions from local governments. Although nonpharmaceutical interventions often were implemented as decision rules, few studies evaluated the robustness of those reopening plans under a wide range of uncertainties. This paper uses the Robust Decision Making approach to stress-test 78 alternative reopening strategies, using California as an example. This study uniquely considers a wide range of uncertainties and demonstrates that seemingly sensible reopening plans can lead to both unnecessary COVID-19 deaths and days of interventions. We find that plans using fixed COVID-19 case thresholds might be less effective than strategies with time-varying reopening thresholds. While we use California as an example, our results are particularly relevant for jurisdictions where vaccination roll-out has been slower. The approach used in this paper could also prove useful for other public health policy problems in which policymakers need to make robust decisions in the face of deep uncertainty.

SUBMITTER: Nascimento de Lima P 

PROVIDER: S-EPMC8547648 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

altmetric image

Publications

Reopening California: Seeking robust, non-dominated COVID-19 exit strategies.

Nascimento de Lima Pedro P   Lempert Robert R   Vardavas Raffaele R   Baker Lawrence L   Ringel Jeanne J   Rutter Carolyn M CM   Ozik Jonathan J   Collier Nicholson N  

PloS one 20211026 10


The COVID-19 pandemic required significant public health interventions from local governments. Although nonpharmaceutical interventions often were implemented as decision rules, few studies evaluated the robustness of those reopening plans under a wide range of uncertainties. This paper uses the Robust Decision Making approach to stress-test 78 alternative reopening strategies, using California as an example. This study uniquely considers a wide range of uncertainties and demonstrates that seemi  ...[more]

Similar Datasets

| S-EPMC9755467 | biostudies-literature
| S-EPMC7683602 | biostudies-literature
| S-EPMC7996987 | biostudies-literature
| S-EPMC7537575 | biostudies-literature
| S-EPMC7575516 | biostudies-literature
| S-EPMC8986455 | biostudies-literature
| S-EPMC8829848 | biostudies-literature
| S-EPMC9115430 | biostudies-literature
| S-EPMC7395828 | biostudies-literature
| S-EPMC8568179 | biostudies-literature