{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9(2)"],"submitter":["Lafuente M"],"pubmed_abstract":["Objective
This study aims to build a multistate model and describe a predictive tool for estimating the daily number of intensive care unit (ICU) and hospital beds occupied by patients with coronavirus 2019 disease (COVID-19).Material and methods
The estimation is based on the simulation of patient trajectories using a multistate model where the transition probabilities between states are estimated via competing risks and cure models. The input to the tool includes the dates of COVID-19 diagnosis, admission to hospital, admission to ICU, discharge from ICU and discharge from hospital or death of positive cases from a selected initial date to the current moment. Our tool is validated using 98,496 cases positive for severe acute respiratory coronavirus 2 extracted from the Ar"],"journal":["Heliyon"],"pagination":["e13545"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9899510"],"repository":["biostudies-literature"],"pubmed_title":["A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19."],"pmcid":["PMC9899510"],"pubmed_authors":["Lafuente M","Lopez FJ","Asin J","Cebrian AC","Mateo PM","Borque-Fernando A","Esteban LM","Moler JA","Perez-Palomares A","Sanz G"],"additional_accession":[]},"is_claimable":false,"name":"A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19.","description":"Objective
This study aims to build a multistate model and describe a predictive tool for estimating the daily number of intensive care unit (ICU) and hospital beds occupied by patients with coronavirus 2019 disease (COVID-19).Material and methods
The estimation is based on the simulation of patient trajectories using a multistate model where the transition probabilities between states are estimated via competing risks and cure models. The input to the tool includes the dates of COVID-19 diagnosis, admission to hospital, admission to ICU, discharge from ICU and discharge from hospital or death of positive cases from a selected initial date to the current moment. Our tool is validated using 98,496 cases positive for severe acute respiratory coronavirus 2 extracted from the Ar","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-04-21T22:09:57.285Z","creation":"2024-11-20T06:38:55.719Z"},"accession":"S-EPMC9899510","cross_references":{"pubmed":["36776914"],"doi":["10.1016/j.heliyon.2023.e13545"]}}