ArticleHealth science reports2026
The Potential of Bioinformatics in Revolutionizing Disease Diagnosis in Sub-Saharan Africa: A Narrative Review.
Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Who cites it
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aim: Despite its role in healthcare delivery and accessibility, the potential of bioinformatics to transform disease diagnosis in SSA remains unknown. This narrative review aims to assess the current status of bioinformatics initiatives in SSA and evaluate the role of bioinformatics in transforming diagnosis of major diseases in the region. Methods: A narrative review of peer-reviewed literature, policy reports, and program documentation published between 2000 and 2025 was conducted. Sources were identified through targeted database searches and organizational websites (e.g., Africa CDC, H3Africa, genome.gov, etc.). Key themes were synthesized, including bioinformatics pipelines, infrastructure, training and capacity development, integration of sequencing technologies, and disease-specific applications. Results: Bioinformatics capacity in SSA has expanded primarily through international collaborations and regional networks such as H3Africa and Africa CDC's Pathogen Genomics Initiative. While significant advances in training and expertise are evident, sequencing infrastructure and data management systems remain unevenly distributed. For priority diseases-including malaria, typhoid, HIV, tuberculosis, and neglected tropical diseases-bioinformatics applications show promise in detecting drug resistance, guiding treatment, and enabling genomic surveillance. However, infrastructural barriers such as limited wet-laboratory facilities, data storage capacity, and internet connectivity constrain implementation. Conclusion: Bioinformatics-based diagnostics have the potential to transform healthcare delivery in SSA by enabling more accurate, timely, and context-specific disease diagnosis. Realizing this potential requires simultaneous investment in sequencing infrastructure, sustainable bioinformatics training, and policies that support data sharing and integration into clinical practice. Strengthening these systems could reduce diagnostic inequities, empower African-led research, and advance the region toward self-reliant and equitable healthcare.
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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.