Author: Teng Zhang; Kelly McFarlane; Jacqueline Vallon; Linying Yang; Jin Xie; Jose Blanchet; Peter Glynn; Kristan Staudenmayer; Kevin Schulman; David Scheinker
Title: A model to estimate bed demand for COVID-19 related hospitalization Document date: 2020_3_26
ID: eee22bzx_13
Snippet: In response to the COVID-19 epidemic, hospitals must understand their current and future capacity to care for patients with severe illness. While there is significant uncertainty around the parameters used to develop this model, the analysis is based on transparent logic and starts from observed data to provide a robust basis of projections for hospital managers. The model demonstrates the need to address critical questions about staffing pattern.....
Document: In response to the COVID-19 epidemic, hospitals must understand their current and future capacity to care for patients with severe illness. While there is significant uncertainty around the parameters used to develop this model, the analysis is based on transparent logic and starts from observed data to provide a robust basis of projections for hospital managers. The model demonstrates the need to address critical questions about staffing patterns for IC and AC, and equipment capacity such as ventilators.
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