ArticleIJID regions2026
Artificial intelligence for Africa: bridge or barrier for infectious disease control?
Article in IJID regions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Ebola Virus Disease in the Era of One Health and Global Preparedness: Evolving Epidemiology, Genomic Surveillance, and Future Challenges.Infectious disease reports · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
•The promise of artificial intelligence (AI) for global health risks becoming a structural barrier in Africa if linguistic and cultural exclusions persist.•Dominant AI systems, trained on non-African languages, perform poorly in many local languages, widening health inequalities in infectious disease surveillance and control.•Locally developed, language-specific AI tools demonstrate superior performance in health communication compared with imported, non-contextualized models.•Creating effective AI for health in Africa requires investment in local data ecosystems, digital infrastructure, and participatory, epistemically just design.•Africa's linguistic diversity represents a strategic opportunity for innovation in cross-border disease surveillance and South-South technological collaboration.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.