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

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

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 vac...

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Bibliographic Details
Main Authors: Álvaro Serrano-Ortiz, Juan Luis Romero-Cabrera, Jaime Monserrat Villatoro, Jaime Cordero-Ramos, Rafael Ruiz-Montero, Álvaro Ritoré, Joaquín Dopazo, Jorge del Diego Salas, Valle García Sánchez, Inmaculada Salcedo-Leal, Miguel Ángel Armengol de la Hoz, Isaac Túnez, Miguel Ángel Guzmán
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Journal of Epidemiology and Global Health
Subjects:
COVID-19
Epidemiology
Health policy
Cohort study
Vaccines
Online Access:https://doi.org/10.1007/s44197-024-00298-2
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