Abstract

POONGAVANAN, Jenicca et al. Managing and assembling population-scale data streams, tools and workflows to plan for future pandemics within the INFORM-Africa Consortium. S. Afr. j. sci. [online]. 2023, vol.119, n.5-6, pp.1-4. ISSN 1996-7489.  https://doi.org/10.17159/sajs.2023/14659.

SIGNIFICANCE: The INFORM-Africa Consortium, a research hub of the NIH-funded DS-I Africa, will leverage the Data Management and Analysis Core (DMAC) and Next Generation Sequencing (NGS) Core to ensure effective data management and analysis. The DMAC will capture and analyse data, making it accessible to collaborators across multiple African countries and future research hubs. The aim is to increase access to high-quality, reproducible data that can be used to engage policymakers and better prepare for future pandemics, while also removing barriers to data sharing and integration across institutions. Ultimately, this goal will facilitate data-driven decision-making and advance public health initiatives.

Keywords : INFORM-Africa data management; collaboration; SARS-CoV-2; HIV.

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