TB Research

The Potential of Bioinformatics in Revolutionizing Disease Diagnosis in Sub-Saharan Africa: A Narrative Review

Ofosu W, Kotey FCN, Odoom A, Ntim OK, Donkor ES

Health science reports · 2026-03

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.