RT journal article
T1 Assessing the impact of vaccines on COVID-19 efficacy in survival rates: a survival analysis approach for clinical decision support
A1 González Rodríguez, Juan Luis
A1 Oprescu, Andreea M.
A1 Muñoz Lezcano, Sergio
A1 Cordero Ramos, Jaime
A1 Romero Cabrera, Juan Luis
A1 Armengol de la Hoz, Miguel Ángel
A1 Estella García, Ángel
A2 Medicina
K1 clinical decision support system
K1 clinical decision-making
K1 COVID-19
K1 predictive modeling
K1 vaccine
AB Background: The global COVID-19 pandemic, caused by the SARS-CoV-2 virus, has presented significant challenges to healthcare systems worldwide. Objective: This study, based on an analysis of a cohort from the Public Health System of Andalusia (Spain), aims to evaluate how vaccination affects case-fatality rate in patients hospitalized due to COVID-19 infection in Andalusia. Methods: The cohort consists of 37,274 individuals after applying the inclusion criteria. We conducted survival analyses employing the Cox proportional hazards models and generated adjusted survival curves to examine the outcomes. The analyses were performed from three perspectives: vaccinated vs. unvaccinated patients, vaccinated and unvaccinated patients grouped by age, and stratified by vaccination status. Results: Results indicate a substantial correlation between vaccination and a 20% reduction in the risk of case-fatality. Age-specific effects reveal varying degrees of protection across different age groups. Conclusion: These findings emphasize the pivotal role of vaccination status in COVID-19 risk assessment, supporting the development of a clinical decision support system for accurate predictions and optimizing healthcare management at admission
PB Frontiers Media SA
SN 2296-2565
YR 2024
FD 2024
LK http://hdl.handle.net/10498/36005
UL http://hdl.handle.net/10498/36005
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026