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_4
Snippet: 1. COVID-19 Admissions: We project the total COVID-19 admissions with an exponential growth model using data based on the first 14 days of patient admissions (The number of total admitted patients up to day n is the product of the number of patients admitted up to day 0 and 2 to the power of n divided by the doubling time). 2. Patient Cohorting: The patients are partitioned into 5 care cohorts: Cohorts 1 and 5 are patients who spend time only on,.....
Document: 1. COVID-19 Admissions: We project the total COVID-19 admissions with an exponential growth model using data based on the first 14 days of patient admissions (The number of total admitted patients up to day n is the product of the number of patients admitted up to day 0 and 2 to the power of n divided by the doubling time). 2. Patient Cohorting: The patients are partitioned into 5 care cohorts: Cohorts 1 and 5 are patients who spend time only on, respectively, a General Medicine AC floor and an IC unit. The remaining 3 cohorts are patients who spend time in an IC unit, only before, only after, or both before and after spending time on an AC unit ( . 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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