Waiswa, JA
; Otieno, GP; Amare, SY; Ngatia, B; Wanduru, P; Kirakoya-Samadoulougou, F; Kananura, RM; Amouzou, A; Estifanos, AS and Ohuma, EO
(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
; Otieno, GP; Amare, SY; Ngatia, B; Wanduru, P; Kirakoya-Samadoulougou, F; Kananura, RM; Amouzou, A; Estifanos, AS and Ohuma, EO
(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
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, JA; Otieno, GP; Amare, SY; Ngatia, B; Wanduru, P; Kirakoya-Samadoulougou, F; Kananura, RM; Amouzou, A; Estifanos, AS and Ohuma, EO
|
| 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 |
| Date Deposited | 22 Apr 2026 10:52 |
| Last Modified | 21 May 2026 10:23 |
| Publisher | Figshare |
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