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

The global health challenge of COVID-19 persists, marked by emerging variants with higher virulence and severity, particularly among the unvaccinated and those beyond six months post-vaccination, especially those aged 60 and above. These findings highlight the need for robust surveillance systems targeting new variants and administering booster doses, particularly for individuals aged 60 or older with underlying health conditions, to mitigate the global burden of COVID-19.

Authors

Institutions

Publication Details

Journal
Journal of Epidemiology and Global Health
Published
2024-11-11
DOI
https://doi.org/10.1007/s44197-024-00298-2
Citations
1
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Isaac Túnez, Joanne Salas, Inmaculada Salcedo-Leal, Verónica Sánchez et al.
1 citations
Journal of Epidemiology and Global Health
COVID-19 diagnosis using AI
0.40
article

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

Isaac Túnez, Joanne Salas, Inmaculada Salcedo-Leal, Verónica Sánchez, Miguel Ángel Armengol de la Hoz, Rafael Ruiz-Montero, Joaquı́n Dopazo, Álvaro Ritoré, Álvaro Serrano-Ortiz, Juan Luis Romero‐Cabrera, Jaime Ramos, Jaime Monserrat Villatoro
article en
1 citations

Abstract

The global health challenge of COVID-19 persists, marked by emerging variants with higher virulence and severity, particularly among the unvaccinated and those beyond six months post-vaccination, especially those aged 60 and above. These findings highlight the need for robust surveillance systems targeting new variants and administering booster doses, particularly for individuals aged 60 or older with underlying health conditions, to mitigate the global burden of COVID-19.

Journal of Epidemiology and Global HealthVol. 14(4)
Andalusian Health Service (ES), Basque Government (ES), Government of Spain (ES), Instituto de Salud Carlos III (ES), Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (ES), Fundación Progreso y Salud (ES), Hospital Universitario Virgen Macarena (ES), Instituto Maimónides de Investigación Biomédica de Córdoba (ES), Hospital Alto Guadalquivir (ES), Regional Health (US), Instituto de Arqueología-Mérida (ES), Hospital Universitario Reina Sofía (ES), Instituto de Biomedicina de Sevilla (ES), University of Córdoba (ES), Andalusian School of Public Health (ES), Cordoba University (US), Junta de Andalucía (ES)
European Centre for Disease Prevention and Control
Good health and well-being
Openalex Percentile: Top 33%
COVID-19 diagnosis using AI
0.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.