ArticleFrontiers in public health2021
A Roadmap for Building Data Science Capacity for Health Discovery and Innovation in Africa.
Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Malaria and Helminthic Co-Infection during Pregnancy in Sub-Saharan Africa: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022Pooled it
- Immune organoids for Africa: a roadmap for bridging the innovation gap in infectious diseases and cancer research.Journal of the Egyptian National Cancer Institute · 2026Review
- Advancing AI and data science for health in Africa: education, collaboration, and applications for global health priorities.Frontiers in public health · 2026Article
- Connecting biospecimens and data: a scoping review-informed conceptual framework for digital infrastructure in biobanking and genomic research in low- and middle-income countries.Frontiers in public health · 2026Article
- Health data science revolution in Africa: potential for addressing the myriad health challenges.Nature communications · 2025Article
- The importance of funding and investment to strengthen data science in Africa.Communications medicine · 2025Article
- Adapting data science competencies by role and purpose: Voice AI.Frontiers in digital health · 2025Article
- Health Data Sciences and Cardiovascular Disease in Africa: Needs and the Way Forward.Current atherosclerosis reports · 2024Review
- Digital Competencies and Training Approaches to Enhance the Capacity of Practitioners to Support the Digital Transformation of Public Health: Rapid Review of Current Recommendations.JMIR public health and surveillance · 2024Review
- Current data science capacity building initiatives for health researchers in LMICs: global & regional efforts.Frontiers in public health · 2024Review
- A collaborative approach to advancing research and training in Public Health Data Science-challenges, opportunities, and lessons learnt.Frontiers in public health · 2024Article
- Harnessing genomics and translational research to improve health in Africa: a report of the 13The Pan African medical journal · 2024Article
- Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches.One health (Amsterdam, Netherlands) · 2022Review
- Data Science in Public Health: Building Next Generation Capacity.Harvard data science review · 2022Article
- Data sharing: A Long COVID perspective, challenges, and road map for the future.South African journal of scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 7 institutions in 4 countries.
Funding
Abstract
Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unprecedented rate across the full spectrum of scientific inquiry spanning basic biology, clinical medicine, public health and health care systems. Leveraging these data can accelerate scientific advances, health discovery and innovations. However, data are just the raw material required to generate new knowledge, not knowledge on its own, as a pile of bricks would not be mistaken for a building. In order to solve complex scientific problems, appropriate methods, tools and technologies must be integrated with domain knowledge expertise to generate and analyze big data. This integrated interdisciplinary approach is what has become to be widely known as data science. Although the discipline of data science has been rapidly evolving over the past couple of decades in resource-rich countries, the situation is bleak in resource-limited settings such as most countries in Africa primarily due to lack of well-trained data scientists. In this paper, we highlight a roadmap for building capacity in health data science in Africa to help spur health discovery and innovation, and propose a sustainable potential solution consisting of three key activities: a graduate-level training, faculty development, and stakeholder engagement. We also outline potential challenges and mitigating strategies.
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.