Interactive Model to Estimate Bed Demand for COVID-19-Related Hospitalization Developed by Stanford Medicine-Engineering Partnership

Kelly McFarlane, Teng Zhang, Jacqueline Vallon, Linying Yang, Jin Xie, Peter Glynn, and David Scheinker

Health Management, Policy and Innovation (HMPI.org), volume 5, Issue 1, special issue on COVID-19, April 2020.

What is the message? Development of an interactive online tool to predict COVID-19 related demand for intensive care and acute care hospital beds can help hospitals with capacity planning. What is the evidence? Inputs to the online model are based on best available evidence and discussions with experts; all inputs and parameters are editable and can be updated as new data becomes available.