This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Registered Report (791) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717) Clinical Informatics in Low-Resource Settings and the Developing World (125) Natural Language Processing (917) Equity and Digital Divide (370) Machine Learning (2076) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (161) Public Health Informatics (135)

Published on in Vol 27 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68720, first published .
Natural Language Processing Technologies for Public Health in Africa: Scoping Review

Natural Language Processing Technologies for Public Health in Africa: Scoping Review

Natural Language Processing Technologies for Public Health in Africa: Scoping Review

Authors of this article:

Songbo Hu1 Author Orcid Image ;   Abigail Oppong1 Author Orcid Image ;   Ebele Mogo2 Author Orcid Image ;   Charlotte Collins1 Author Orcid Image ;   Giulia Occhini1 Author Orcid Image ;   Anna Barford1 Author Orcid Image ;   Anna Korhonen1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Songbo Hu   1 * , MPhil ;   Abigail Oppong   1 * , BSc ;   Ebele Mogo   2 , DrPH ;   Charlotte Collins   1 , PhD ;   Giulia Occhini   1 , PhD ;   Anna Barford   1 , PhD ;   Anna Korhonen   1 , PhD

1 Language Technology Lab, University of Cambridge, Cambridge, United Kingdom

2 Cambridge Centre for Human Inspired Artificial Intelligence, University of Cambridge, Cambridge, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Songbo Hu, MPhil
  • Language Technology Lab
  • University of Cambridge
  • English Faculty Building
  • 9 West Road
  • Cambridge CB3 9DA
  • United Kingdom
  • Phone: 44 1223 335010
  • Email: sh2091@cam.ac.uk