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Aplicaciones de la ciencia de datos para la prevención y el control de enfermedades no transmisibles en África: un

Akinkunmi Paul Okekunle¹, Muideen Tunbosun Olaiya², Paul Olowoyo³

¹Department of Medicine, College of Medicine, University of Ibadan, 200284, Nigeria; Research Institute of Human Ecology, Seoul National University, 08826, Korea.

Cardiovascular journal of Africa

|February 20, 2026

Resumen

Este protocolo de revisión sistemática describe el uso de la ciencia de datos para la prevención y el control de enfermedades no transmisibles (ENT) en África. Su objetivo es identificar los beneficios, las oportunidades y los desafíos para futuras iniciativas.

Área de la Ciencia:

Salud Pública
Ciencia de Datos
Epidemiología

Sus antecedentes:

Las enfermedades no transmisibles (ENT) representan una carga significativa en África.
La ciencia de datos ofrece enfoques novedosos para la prevención y el control de ENT.
Es crucial comprender el panorama de las aplicaciones de la ciencia de datos en este contexto.

Objetivo del estudio:

Revisar sistemáticamente la evidencia sobre los beneficios, oportunidades y desafíos del uso de la ciencia de datos para la prevención y el control de ENT en África.
Proporcionar una hoja de ruta para futuras iniciativas de ciencia de datos en el control de ENT en África.

Principales métodos:

Búsqueda sistemática de literatura en cinco bases de datos y un motor de búsqueda.
Inclusión de estudios primarios que aplican métodos de ciencia de datos (IA, aprendizaje automático, modelado) a ENT.
Evaluación, extracción de datos y cribado independientes por al menos dos revisores.

Principales resultados:

Centrarse en estudios que conciernen exclusivamente a poblaciones africanas indígenas.
Identificación de diversas metodologías de ciencia de datos aplicadas a ENT.
Síntesis de los beneficios, oportunidades y desafíos reportados.

Conclusiones:

La ciencia de datos tiene un potencial transformador para la prevención y el control de ENT en África.
Los hallazgos guiarán la implementación estratégica de intervenciones de ENT basadas en datos.
Esta revisión informará sobre políticas y prácticas para aprovechar la ciencia de datos en la salud pública africana.

Palabras clave:

África inteligencia artificial aprendizaje automático enfermedades no transmisibles vigilancia

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