(Published in Cornell Chronicle)
Mathematical modeling by Weill Cornell Medicine is helping to guide New York state and New York City leaders as they make decisions that could affect the trajectory of the COVID-19 pandemic.
Using a tool he created called the Cornell COVID Caseload Calculator C5V, Dr. Nathaniel Hupert, associate professor of population health sciences and of medicine at Weill Cornell Medicine, has been making forecasts of the potential impact of COVID-19 on local and regional health care systems. The data helps state and city leaders answer questions related to when cases of the disease will peak in hospitals and what resources will be needed to successfully care for those patients.
Along with two other COVID-19 modeling groups in New York City and several in Albany, Hupert is working to accurately anticipate the health consequences of the COVID-19 pandemic in order to better plan for anticipated surges in patient arrivals. Using a second, more epidemiologically oriented, model created with the University of Oxford and an international modeling coalition called the CoMo Collaborative, he is also modeling how eventual lifting of restrictions on social interaction will influence further disease spread and subsequent demands on the health care system.