Assessing COVID-19 Vaccine Effectiveness and Risk Factors for Severe Outcomes through Machine Learning Techniques: A Real-World Data Study in Andalusia, Spain.

Journal: Journal of epidemiology and global health
PMID: 39527397

Abstract

BACKGROUND: COVID-19 vaccination has become a pivotal global strategy in managing the pandemic. Despite COVID-19 no longer being classified as a Public Health Emergency of International Concern, the virus continues affecting people worldwide. This study aimed to evaluate risk factors and vaccine effectiveness on COVID-19-related hospital admissions, intensive care unit (ICU) admission and mortality within the Andalusian population throughout the pandemic.

Authors

  • Álvaro Serrano-Ortiz
    Preventive Medicine and Public Health Unit, Reina Sofía University Hospital, Córdoba, Spain.
  • Juan Luis Romero-Cabrera
    Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain.
  • Jaime Monserrat Villatoro
    Health District of Córdoba and Guadalquivir, Córdoba, Spain.
  • Jaime Cordero-Ramos
    Pharmaceutical Management Department, Extremadura Health Service, Mérida, Spain.
  • Rafael Ruiz-Montero
    Preventive Medicine and Public Health Unit, Reina Sofía University Hospital, Córdoba, Spain.
  • Álvaro Ritoré
    Big Data Department, PMC-FPS, Regional Ministry of Health and Consumer Affairs, Seville, Spain.
  • Joaquin Dopazo
    Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, Sevilla, Spain.
  • Jorge Del Diego Salas
    Directorate General of Public Health and Pharmaceutical Regulation, Ministry of Health and Consumer Affairs of the Regional Government of Andalusia, Seville, Spain.
  • Valle García Sánchez
    Management Directorate of Andalusian Health Service, Ministry of Health and Consumer Affairs of the Regional Government of Andalusia, Seville, Spain.
  • Inmaculada Salcedo-Leal
    Preventive Medicine and Public Health Unit, Reina Sofía University Hospital, Córdoba, Spain.
  • Miguel Ángel Armengol de la Hoz
    MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, Massachusetts, United States; Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States; Harvard Medical School, Boston, Massachusetts, United States; Biomedical Engineering and Telemedicine Group, Biomedical Technology Centre CTB, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
  • Isaac Túnez
    Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain.
  • Miguel Ángel Guzmán
    Andalusian Public Healthcare System, Andalusia, Spain.

Keywords

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