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Title: Managing and assembling population-scale data streams, tools and workflows to plan for future pandemics within the INFORM-Africa Consortium
Authors: Poongavanan J, Xavier J, Dunaiski M, Tegally H, Oladejo S, Ayorinde O, Wilkinson E, Baxter C, de Oliveira T.
Journal: S Afr J Sci.,119(5-6):14569. doi: 10.17159/sajs.2023/14659: (2024)

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Abstract

To better address issues around public health, it is important to develop the capacity to effectively generate, collect, store, clean, annotate, link, and share data from diverse sources. Furthermore, a research gap in epidemic modelling around the world, and specifically in Africa, is the lack of population-scale epidemiologic data sources, properly annotated and linked across health services. Between continent-wide technical and infrastructural resource limitations and fragile health systems, the need for population-scale epidemiological and frequently updated data, is even more urgent to inform interventions rapidly (6,7). Consequently, ‘The Role of Data streams In Informing infection dynamics in Africa’ (INFORM Africa) research Hub was established and focuses on the effective use of big data from South African and Nigeria as a cornerstone of future pandemic preparedness.

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Citation: Poongavanan J, Xavier J, Dunaiski M, Tegally H, Oladejo S, Ayorinde O, Wilkinson E, Baxter C, de Oliveira T. Managing and assembling population-scale data streams, tools and workflows to plan for future pandemics within the INFORM-Africa Consortium S Afr J Sci.,119(5-6):14569. doi: 10.17159/sajs.2023/14659: (2024).