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INSPIRE Datahub: A Pan-African Integrated Suite of Services for Harmonising Longitudinal Population Health Data Using OHDSI Tools

dc.contributor.authorBhattacharjee, T.
dc.contributor.authorKiwuwa-Muyingo, S.
dc.contributor.authorKanjala, C.
dc.contributor.authorMaoyi, M.
dc.contributor.authorAmadi, D.
dc.contributor.authorOchola, M.
dc.contributor.authorKadengye, D.
dc.contributor.authorGregory, A.
dc.contributor.authorKiragga, A.
dc.contributor.authorTaylor, A.
dc.contributor.authorGreenfield, J.
dc.contributor.authorSlaymaker, E.
dc.contributor.authorTodd, J
dc.contributor.authorNSPIRE Network.
dc.date.accessioned2024-07-29T06:25:41Z
dc.date.available2024-07-29T06:25:41Z
dc.date.issued2024
dc.identifier.uri10.3389/fdgth.2024.1329630.
dc.identifier.urihttps://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2024.1329630/full
dc.identifier.urihttp://knowhub.aphrc.org/handle/123456789/1506
dc.description.abstractPopulation health data integration remains a critical challenge in low- and middle-income countries (LMIC), hindering the generation of actionable insights to inform policy and decision-making. This paper proposes a pan-African, Findable, Accessible, Interoperable, and Reusable (FAIR) research architecture and infrastructure named the INSPIRE datahub. This cloud-based Platform-as-a-Service (PaaS) and on-premises setup aims to enhance the discovery, integration, and analysis of clinical, population-based surveys, and other health data sources.
dc.publisherFrontiers in Digital Health
dc.subjectLongitudinal population health data
dc.subjectData mapping and migration
dc.subjectData Harmonization
dc.subjectResearch Architecture
dc.titleINSPIRE Datahub: A Pan-African Integrated Suite of Services for Harmonising Longitudinal Population Health Data Using OHDSI Tools


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