TABLE 1.
Comparing COVID-19 Hospital Surge Capacity Planning Models
| MODEL NAME | AUTHOR AFFILIATION | VERSION | PLANNING HORIZON | POPULATION AGE STRATIFICATION | HOSPITALIZATION, ICU PROPORTION | EPIDEMIC CURVE | LENGTH OF STAY (LOS) | OUTPUT | |
|---|---|---|---|---|---|---|---|---|---|
| FIRST WAVE | SECOND WAVE | ||||||||
| Cornell COVID-19 Caseload Calculator with Capacity and Ventilators (C5V) | Weill Cornell Medicine, Singapore University of Technology and Design, San Jose State University, Cornell Engineering | Online | 180 to 360 days | 7 age ranges: 0-19, 20-44, 45-54, 55-64, 65-74, 75-84, 85+ or 5 age ranges: 0-4, 5-17, 18-49, 50-64, 65+ | Included with age stratification | Gamma distribution or empirical distribution | Gamma distribution or empirical distribution | Min and max LOS for adult medical-surgical, pediatric medical-surgical, adult critical care, pediatric critical care; includes fatality ratios with LOS adjustments, different LOS for critical care patients without ventilator; uniform distribution with min, max to determine LOS for each type | On screen graphs, option to download.xlsx file with all data and all graphs included |
| Spreadsheet | 180 days | 5 age ranges: 0-4, 5-17, 18-49, 50-64, 65+ | Gamma distribution | None | Output worksheet with all data and all graphs included | ||||
| Desktop (Python) | On screen graphs, output can be copied to.xlsx file using “Print” button | ||||||||
| COVID-19 Acute and Intensive Care Resource Tool (CAIC-RT) | Dalla Lana School of Public Health, Department of Medicine, University of Toronto | Online | N/A | 7 age ranges: 0-19, 20-44, 45-54, 55-64, 65-74, 75-84, 85+ | Included with age stratification | N/A | N/A | Average LOS in hospital, in ICU, on ventilator | Single graph with max number of hospital, ICU beds, ventilators with option to download.pdf file report with data and graph |
| COVID-19 Hospital Impact Model for Epidemics (CHIME) | Perelman School of Medicine, University of Pennsylvania | Online | 30 days | None | Included | Discrete-time SIR model | None | Average LOS in hospital, in ICU, on ventilator | On screen graphs, option to download separate.csv file with data used in each graph (graph excluded) |
| COVID-19 ICU and Floor Projection | Stanford Medicine, Stanford Graduate School of Business, Management Science and Engineering, Stanford University | Online | 34 days (default) | None | Included | Exponential distribution | None | Average LOS for different patient pathways: Floor only, Floor to ICU to Floor, Floor to ICU, ICU to Floor, ICU only | On screen graphs and on screen tabular data provided |
| COVID-19Surge | Centers for Disease Control and Prevention (CDC) | Spreadsheet | 365 days | 5 age ranges: 0-4, 5-17, 18-49, 50-64, 65+ | Included with age stratification | Exponential or uniform distribution | None | Average LOS in hospital, in ICU, on ventilator | Spreadsheet output with tabular data and graphs |
| Surge Capacity Bed Management Tools | Healthcare Systems Engineering Institute, Northeastern University | Spreadsheet | 30 days | None | Included | Piece-wise exponential or empirical distribution | None | Average LOS for different patient pathways: medical-surgical only, medical-surgical to ICU with ventilator, medical-surgical to ICU without ventilator, ICU without ventilator to medical-surgical, ICU with ventilator only, ICU without ventilator only | Spreadsheet output with tabular data and graphs |