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_1
Snippet: As of March 23, 2020 there have been over 354,000 confirmed cases of coronavirus disease 2019 (COVID-19) in over 180 countries, the World Health Organization characterized COVID-19 as a pandemic, and the United States (US) announced a national state of emergency. 1, 2, 3 In parts of China and Italy the demand for intensive care (IC) beds was higher than the number of available beds. 4, 5 The limited availability of testing results in the US make .....
Document: As of March 23, 2020 there have been over 354,000 confirmed cases of coronavirus disease 2019 (COVID-19) in over 180 countries, the World Health Organization characterized COVID-19 as a pandemic, and the United States (US) announced a national state of emergency. 1, 2, 3 In parts of China and Italy the demand for intensive care (IC) beds was higher than the number of available beds. 4, 5 The limited availability of testing results in the US make it challenging to estimate the demand for hospital beds that will be generated by COVID-19 patients. We sought to build an accessible interactive model that could facilitate hospital capacity planning in the presence of significant uncertainty about the proportion of the population that is COVID-19+ and the rate at which COVID-19 is spreading in the population. Our approach was to design a tool with parameters that hospital leaders could adjust to reflect their local data and easily modify to conduct sensitivity analyses.
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