Author: Johannes Opsahl Ferstad; Angela Jessica Gu; Raymond Ye Lee; Isha Thapa; Andrew Y Shin; Joshua A Salomon; Peter Glynn; Nigam H Shah; Arnold Milstein; Kevin Schulman; David Scheinker
Title: A model to forecast regional demand for COVID-19 related hospital beds Document date: 2020_3_30
ID: jjtsd4n3_8
Snippet: Our results suggest, in line with basic epidemiological principles, that hospitalization rates are very sensitive to contagion doubling time. Despite the uncertainty about doubling time, the model demonstrates that across a large set of assumptions, efforts to increase hospital bed capacity are not on their own likely to be sufficient to ensure that hospital capacity meets demand......
Document: Our results suggest, in line with basic epidemiological principles, that hospitalization rates are very sensitive to contagion doubling time. Despite the uncertainty about doubling time, the model demonstrates that across a large set of assumptions, efforts to increase hospital bed capacity are not on their own likely to be sufficient to ensure that hospital capacity meets demand.
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