Mitigating the COVID-19 Pandemic through Data-Driven Resource Sharing.

ABSTRACT: COVID-19 outbreaks in local communities can result in a drastic surge in demand for scarce resources such as mechanical ventilators. To deal with such demand surges, many hospitals (1) purchased large quantities of mechanical ventilators, and (2) canceled/postponed elective procedures to preserve care capacity for COVID-19 patients. These measures resulted in a substantial financial burden to the hospitals and poor outcomes for non-COVID-19 patients. Given that COVID-19 transmits at different rates across various regions, there is an opportunity to share portable healthcare resources to mitigate capacity shortages triggered by local outbreaks with fewer total resources. This paper develops a novel data-driven adaptive robust simulation-based optimization (DARSO) methodology for optimal all

SUBMITTER: Keyvanshokooh E 

PROVIDER: S-EPMC10883670 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature