https://www.sciencedaily.com/releases/2020/04/200423160512.htm

The study was led by the Public Health Informatics, Computational, and Operations Research (PHICOR) team at the City University of New York (CUNY) Graduate School of Public Health and Health Policy (CUNY SPH) along with the Infectious Disease Clinical Outcomes Research Unit (ID-CORE) at the Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center and Torrance Memorial Medical Center. The team developed a computer simulation model of the entire U.S. that could then simulate what would happen if different proportions of the population end up getting infected with the COVID-19 coronavirus. In the model, each infected person would develop different symptoms over time and, depending upon the severity of those symptoms, visit clinics, emergency departments, or hospitals. The resources each patient would require such as health care personnel time, medication, hospital beds, and ventilators would then be based on the health status of each patient. The model then tracks the resources invovled, the associated costs, and the outcomes for each patient.

For example, if 20 percent of the U.S. population were to become infected with the COVID-19 coronavirus, there would be an average of 11.2 million hospitalizations and 1.6 million ventilators used, costing an average of $163.4 billion in direct medical costs during the course of the infection. The study shows the factors that could push this amount up to 13.4 million hospitalizations and 2.3 million ventilators used, costing an average of $214.5 billion. If 50 percent of the U.S. population were to get infected with the COVID-19 coronavirus, there would be 27.9 million hospitalizations, 4.1 million ventilators used and 156.2 million hospital bed days accrued, costing an average of $408.8 billion in direct medical costs during the course of the infection. This increases to 44.6 million hospitalizations, 6.5 million ventilators used and 249.5 million hospital bed days (general ward plus ICU bed days) incurred, costing an average of $654 billion during the course of the infection if 80 percent of the U.S. population were to get infected. The significant difference in medical costs when various proportions of the population get infected show the value of any strategies that could reduce infections and, conversely, the potential cost of simply letting the virus run its course.