Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: A scoping review protocol

Domain:

healthcare

Record type:

paper

Creator:

BanOhuAgbAbi

Editor:

Cen

Publisher:

OSF

Host:

This scoping review will map and synthesize use cases of data science in Maternal Newborn Child Health (MNCH) across Africa to identify existing gaps and opportunities and propose next steps for development improvement and integration of data science in MNCH programs' monitoring and evaluation and implementation.

Visit

doi.org osf.io

Scoping review protocol on maternal, newborn and child health research in Ethiopia

Introduction There has been a tremendous reduction in maternal and child morta

Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis

Abstract Introduction In 2020, an es

Gaps in maternal, newborn, and child health research: a scoping review of 72 years in Ethiopia

ABSTRACT Objectives Despite significant re

Potential of Data Science to Address Nutrition and Food Security Challenges in Africa: A Scoping Review Protocol

The objective of this scoping review is to identify and map available evidence on how the use of dat

Scoping review of maternal and newborn health interventions and programmes in Nigeria

Objective To systematically scope and map research regarding interventions, pr

Mapping a Decade of Maternal, Neonatal, and Child Health Research in Nigeria (2015–2025): A Scoping Review Protocol

Nigeria bears a disproportionate share of the global maternal, neonatal, and child mortality burden.