Article

Projecting hospital resource utilization during a surge using parametric bootstrapping

2020-08-02

Abstract excerpt

During the initial wave of the COVID-19 pandemic in the United States, hospitals took drastic action to ensure sufficient capacity, including canceling or postponing elective procedures, expanding the number of available intensive care beds and ventilators, and creating regional overflow hospital capacity. However, in most locations the actual number of patients did not reach the projected surge leaving available,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8232fe1c-f82f-587e-93a5-c588ff7f3243
DOI: 10.1101/2020.07.30.20164475

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Projecting hospital resource utilization during a surge using parametric bootstrappingDOI 10.1101/2020.07.30.20164475Read

Balancing revenue generation with capacity generation: Case distribution, financial impact and hospital capacity changes from cancelling or resuming elective surgeries in the US during COVID-19Semantic proximity Read

Navigating hospitals safely through the COVID-19 epidemic tide: predicting case load for adjusting bed capacitySemantic proximity Read

Estimating COVID-19 hospital demand using a non-parametric model: a case study in Galicia (Spain)Semantic proximity Read

Modeling COVID-19 care capacity in a major health systemSemantic proximity Read

Projecting Demand-Supply Gap of Hospital Capacity in India in the face of COVID-19 pandemic using Age-Structured deterministic SEIR modelSemantic proximity Read

A model to estimate bed demand for COVID-19 related hospitalizationSemantic proximity Read

Selectively caring for the most severe COVID-19 patients delays ICU bed shortages more than increasing hospital capacitySemantic proximity Read

Hospitalization forecast to inform COVID-19 pandemic planning and resource allocation using mathematical modelsSemantic proximity Read

Hospital beds and personal protective equipment planning for COVID-19 pandemic: A computer simulation approachSemantic proximity Read

A Model of Bed Demand to Facilitate the Implementation of Data-driven Recommendations for COVID-19 Capacity ManagementSemantic proximity Read

Modelling strategies to predict hospital demand during the COVID-19 outbreak in Bogota, ColombiaSemantic proximity Read

Predicting hospital demand during the COVID-19 outbreak in Bogotá, ColombiaSemantic proximity Read