G. Gomez Melis, C. Tebé Cordomí
Modeling the disease course of COVID-19 regarding serious events such as death or severe pneumonia is of great clinical relevance. Data from a cohort of about 5000 COVID-19 hospitalized adults from the 1st, 2nd, 3rd, and 5th waves of the pandemic in eight hospitals in Catalunya was available. DIVINE, a research team from the GRBIO (UPC-UB), Bellvitge University Hospital, and Bellvitge Biomedical Research Institute has defined a statistical framework to help clinicians to early identify patients at a higher risk of developing severe pneumonia and death. We will present DIVINE’s main goals and results: estimation of the COVID-19 incubation time; identification of clinically relevant prognostic factors for severe pneumonia, invasive respiratory support, death or discharge through statistical semi-Markov and non-Markov multi-state models; development of a prediction tool for COVID-19 hospitalized subjects; comparison and clustering of the clinical COVID-19 hospitalized subjects’ profiles.
Palabras clave: COVID-19, Multi-state Models, Odds-rate models
Programado
Sesión Invitada Aportaciones de la Estadística y la Investigación Operativa al COVID-19 II
10 de junio de 2022 16:00
Aula Magna
