Calabuig, J. M.Jimenez-Fernandez, E.Sanchez-Perez, E. A.Manzanares, S.2025-01-072025-01-072021-12-01https://hdl.handle.net/10668/26315One of the main challenges posed by the healthcare crisis generated by COVID-19 is to avoid hospital collapse. The occupation of hospital beds by patients diagnosed by COVID-19 implies the diversion or suspension of their use for other specialities. Therefore, it is useful to have information that allows efficient management of future hospital occupancy. This article presents a robust and simple model to show certain characteristics of the evolution of the dynamic process of bed occupancy by patients with COVID-19 in a hospital by means of an adaptation of Kaplan-Meier survival curves. To check this model, the evolution of the COVID-19 hospitalization process of two hospitals between 11 March and 15 June 2020 is analyzed. The information provided by the Kaplan-Meier curves allows forecasts of hospital occupancy in subsequent periods. The results shows an average deviation of 2.45 patients between predictions and actual occupancy in the period analyzed.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/health econometricsCOVID-19Kaplan-Meierdecisionoptimizationresearch articleopen access10.3390/econometrics90400382225-1146https://www.mdpi.com/2225-1146/9/4/38/pdf?version=1634192612735855400001