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dc.contributor.authorGonzález Rodríguez, Juan Luis
dc.contributor.authorOprescu, Andreea M.
dc.contributor.authorMuñoz Lezcano, Sergio
dc.contributor.authorCordero Ramos, Jaime
dc.contributor.authorRomero Cabrera, Juan Luis
dc.contributor.authorArmengol de la Hoz, Miguel Ángel
dc.contributor.authorEstella García, Ángel 
dc.contributor.otherMedicinaes_ES
dc.date.accessioned2025-03-28T08:56:54Z
dc.date.available2025-03-28T08:56:54Z
dc.date.issued2024
dc.identifier.issn2296-2565
dc.identifier.urihttp://hdl.handle.net/10498/36005
dc.description.abstractBackground: 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 admissiones_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherFrontiers Media SAes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceFrontiers Media SA - 2024, Vol. 12 pp. 1437388es_ES
dc.subjectclinical decision support systemes_ES
dc.subjectclinical decision-makinges_ES
dc.subjectCOVID-19es_ES
dc.subjectpredictive modelinges_ES
dc.subjectvaccinees_ES
dc.titleAssessing the impact of vaccines on COVID-19 efficacy in survival rates: a survival analysis approach for clinical decision supportes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3389/FPUBH.2024.1437388
dc.type.hasVersionVoRes_ES


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Atribución 4.0 Internacional
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional