Uncertainty Analysis Framework for the Hospital Resource Supply Model for Covid-19
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
In March and April of 2020 there was widespread concern about availability of medical resources required to treat Covid-19 patients who become seriously ill. A simulation model of supply management was developed to aid understanding of how to best manage available supplies and channel new production. Forecasted demands for critical therapeutic resources have tremendous uncertainty, largely due to uncertainties about the number and timing of patient arrivals. It is therefore essential to evaluate any process for managing supplies in view of this uncertainty. To support such evaluations, we developed a modeling framework that would allow an integrated assessment in the context of uncertainty quantification. At the time of writing there has been no need to execute this framework because adaptations of the medical system have been able to respond effectively to the outbreak. This report documents the framework and its implemented components should need later arise for its application.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Electricity (OE); USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000; NA0003525
- OSTI ID:
- 1763544
- Report Number(s):
- SAND--2020-5569; 686549
- Country of Publication:
- United States
- Language:
- English
Similar Records
Uncertainty analysis of Resource Demand Model for Covid-19
Cyberbiosecurity and Public Health in the Age of COVID-19