ReviewNature communications2023
The promise of data science for health research in Africa.
Review in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed.
- Harnessing data science to control non-communicable diseases in Africa: a systematic review and gap analysis.Communications medicine · 2026Article
- Unleashing potential: assessing Africa's readiness for the data science revolution to impact health.Nature communications · 2026Review
- Artificial intelligence for research capacity strengthening: Two reviews and a pathway to shift power in global health.PLOS digital health · 2026Article
- The complexity of inequity: rethinking global health through lived experience, power, and structural vulnerability.International journal for equity in health · 2026Article
- Advancing data science research education in Africa through datathon-driven innovations.Scientific reports · 2026Article
- Harnessing data science for health discovery and innovation in Africa (DS-I Africa).Communications medicine · 2026Article
- Using data science to identify climate change and health adverse impacts and solutions in Africa: a scoping review.npj health systems · 2026Article
- Advancing AI and data science for health in Africa: education, collaboration, and applications for global health priorities.Frontiers in public health · 2026Article
- Knowledge and Recommendations of Stakeholders Regarding Ethical Oversight of Data Science Health Research: Protocol for a Qualitative Study.JMIR research protocols · 2025Article
- Enabling data-driven decision-making for innovative health care and delivery in Africa.npj health systems · 2025Review
- Health data science revolution in Africa: potential for addressing the myriad health challenges.Nature communications · 2025Article
- Protocol for a modified Delphi study of ethical oversight of data science health research (DSHR).BMJ open · 2025Article
- Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis.BMC public health · 2025Article
- Cultivating an equity-oriented data sharing culture for African health research initiatives.Nature communications · 2025Article
- Strengthening Research Ethics Capacity in West Africa, 2015-2024.Journal of empirical research on human research ethics : JERHRE · 2025Article
- Incentives and Trust Are the Main Drivers of Recruiting Participants in 6 African Countries via Web-Based Environments: A Vignette Survey Experiment.Journal of medical Internet research · 2025Article
- Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges.Nature communications · 2025Article
- Exploring the landscape of essential health data science skills and research challenges: a survey of stakeholders in Africa, Asia, and Latin America and the Caribbean.Frontiers in public health · 2025Article
- AI-powered advances in type II endometrial cancer: global trends and African contexts.Frontiers in oncology · 2025Review
- Ancestry gaps in cardiovascular GWAS: a multi-database review of African representation in genomic studies.Frontiers in genetics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Data science health research promises tremendous benefits for African populations, but its implementation is fraught with substantial ethical governance risks that could thwart the delivery of these anticipated benefits. We discuss emerging efforts to build ethical governance frameworks for data science health research in Africa and the opportunities to advance these through investments by African governments and institutions, international funding organizations and collaborations for research and capacity development.
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.