Modeling Hospital Resource Management during the COVID-19 Pandemic: An Experimental Validation

One of the main challenges posed by healthcare crisis generated COVID-19 is to avoid hospital collapse. The occupation beds patients diagnosed implies diversion or suspension their use for other specialities. Therefore, it useful have information that allows efficient management future occupancy. This article presents a robust and simple model show certain characteristics evolution dynamic process bed occupancy with in means an adaptation Kaplan-Meier survival curves. To check this model, hospitalization two hospitals between 11 March 15 June 2020 analyzed. provided curves forecasts subsequent periods. results shows average deviation 2.45 predictions actual period