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_15
Snippet: The main limitation of this model is the fact that most of the inputs are based on estimates. The epidemiology of COVID-19 is critically important, and ongoing research will update the model. The model is very sensitive to specific aspects of the epidemiology, especially doubling time. The model environment can be easily updated with new parameter data to generate a more precise projection. . CC-BY-NC-ND 4.0 International license It is made avail.....
Document: The main limitation of this model is the fact that most of the inputs are based on estimates. The epidemiology of COVID-19 is critically important, and ongoing research will update the model. The model is very sensitive to specific aspects of the epidemiology, especially doubling time. The model environment can be easily updated with new parameter data to generate a more precise projection. . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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