Additional file 3 of Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis

Waiswa, JAORCID logo; Otieno, GP; Amare, SY; Ngatia, BORCID logo; Wanduru, PORCID logo; Kirakoya-Samadoulougou, F; Kananura, RM; Amouzou, A; Estifanos, AS and Ohuma, EOORCID logo (2026). Additional file 3 of Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis. [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.31153952.v1
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Data collated as part of a scoping review and thematic analysis on the topic of data science and artificial intelligence for maternal, newborn and child health.

Keywords

Data science; Artificial intelligence; Maternal health; Newborn health; Child health; Africa Scoping review

Item Type Dataset
Resource Type
Resource Type
Resource Description
Dataset
Quantitative
Capture method Compilation/Synthesis, Aggregation
Date 27 January 2026
Language(s) of written materials English
Creator(s) Waiswa, JAORCID logo; Otieno, GP; Amare, SY; Ngatia, BORCID logo; Wanduru, PORCID logo; Kirakoya-Samadoulougou, F; Kananura, RM; Amouzou, A; Estifanos, AS and Ohuma, EOORCID logo
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-)
Research Centre Centre for Maternal, Reproductive and Child Health (MARCH)
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Funders
Project
Funder
Grant Number
Funder URI
UNSPECIFIED
Fogarty International Center
UNSPECIFIED
https://doi.org/10.13039/100000061
UNSPECIFIED
National Institutes of Health
UNSPECIFIED
https://doi.org/10.13039/100000002
UNSPECIFIED
Bill and Melinda Gates Foundation
UNSPECIFIED
https://doi.org/10.13039/100000865
Date Deposited 22 Apr 2026 10:52
Last Modified 21 May 2026 10:23
Publisher Figshare

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