While the world has celebrated the arrival of highly effective vaccines against COVID-19, new work by researchers at Weill Cornell Medicine and the University of Oxford shows that even unrelated vaccines could help reduce the burden of the pandemic.
Researchers from Weill Cornell Medicine, Cornell University and San Jose State University have identified six free planning models for estimating hospital capacity requirements when COVID-19 cases surge.
Epidemiological models of COVID-19 that are used to guide policies on social distancing measures should take into account the special dynamics of the coronavirus’s spread in nursing homes and other long-term care (LTC) facilities.
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.
A short checklist of signs and symptoms could be a critical tool for directing limited medical resources to the most urgent cases of anthrax following a mass exposure to the deadly bacterium.
