From: Assessing the reliability of medical resource demand models in the context of COVID-19
Organization | Resources predicted | Region of interest | Inputs provided by user | Epidemiological model |
---|---|---|---|---|
WHO [3] | PPE, diagnostics, consumable medical supplies, biomedical equipment, and essential drugs | Countries | Cumulative COVID-19 cases at end of week (for manual input) | Option of Imperial College London SEIR model, SIR model, or manual input |
University of Pennsylvania and Penn Medicine (Penn) [4] | PPE | Hospital or health system | COVID-19 patients hospitalized, in ICU, on ventilator, and new COVID-19 admissions (for manual input) | CHIME (COVID-19 Hospital Impact Model for Epidemics) |
Maryland Emergency Management Agency [5] | PPE | Maryland statewide and countywide | COVID-19 patients that day and previous 24, 48, and 72 hours; total number of EMS response calls for the past 24 hours (for manual input) | Johns Hopkins University Applied Physics Laboratory (MD APL Model) |
Rush University Medical Center [6] | Beds, ventilators, and PPE | States and territories | Unknown (as model inaccessible at time of writing) | 7 different models |
Wells et al. [7] | Ventilators | Nationwide | Initial infectious cases in each age group in Moghadas et al. model [8] | Age-structured dynamic model [8] |
IHME [9] | Ventilators | US states | Data on confirmed COVID-19 deaths | Curve fitting statistical model projected death rates which from this estimated hospital service utilization using an individual-level microsimulation model |
JHU [10] | PPE | US | COVID-19 deaths | None |
CDC [11] | PPE | Healthcare facility | Suspected and confirmed COVID-19 patients, on hand and resupply each day | None |
Virginia Tech [12] | PPE | Hospital | COVID-19/person under investigation patients | None |
COVID Staffing Project [13] | PPE | Hospital | Number of patients hospitalized, in ICU, on ventilator | None |
Children’s National Hospital and the George Washington University (CNH) [14] | PPE | Hospital | All patients in next 24 hours, level of conservation | None |