Harmonisation and sharing of linked HIV cohort data from communities and clinics in Africa
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AI plain-English summaryHIV clinics and community health surveys across Africa are pooling their data into a single, standardised resource that tracks every person from infection through to successful treatment. The problem is that two major HIV research networks—ALPHA, which surveys entire communities, and IeDEA, which follows patients in clinics—have long operated separately. This means data on the same person can exist in both systems but cannot be easily combined. Without linked data, researchers cannot reliably measure whether countries are meeting the UNAIDS 90-90-90 targets: 90% of people with HIV knowing their status, 90% of those on treatment, and 90% of those virally suppressed. If this project succeeds, it will produce the first robust, population-based view of the entire HIV care continuum in Africa—from undiagnosed infection to long-term viral suppression. That will let governments and health agencies see exactly where the gaps are, whether in testing, treatment access, or adherence. The resource will also automate data harmonisation and make pooled datasets publicly available, so other researchers can reuse them without starting from scratch. This is infrastructure work: it does not discover a new drug, but it makes every future study of HIV in Africa more powerful and more reliable.
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