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Harmonizing Population Health Data into OMOP Common Data Model: A Demonstration Using COVID-19 Sero-Surveillance Data from Nairobi Urban Health and Demographic Surveillance System

dc.contributor.authorOchola, M.
dc.contributor.authorKiwuwa-Muyingo, S.
dc.contributor.authorBhattacharjee, T.
dc.contributor.authorAmadi, D.
dc.contributor.authorNg'etich, M.
dc.contributor.authorKadengye, D.
dc.contributor.authorOwoko, H.
dc.contributor.authorIgumba, B.
dc.contributor.authorGreenfield, J.
dc.contributor.authorTodd, J.
dc.contributor.authorKiragga, A.
dc.date.accessioned2025-12-18T10:57:40Z
dc.date.available2025-12-18T10:57:40Z
dc.date.issued2025
dc.identifier.urihttps://doi.org/10.3389/fdgth.2025.1423621
dc.identifier.urihttp://knowhub.aphrc.org/handle/123456789/2878
dc.description.abstractThis study demonstrates harmonization of population health data into the OMOP Common Data Model using COVID-19 sero-surveillance data from Nairobi. It illustrates how common data models enhance interoperability, reproducibility, and multi-site analysis in low-resource settings.
dc.publisherFrontiers
dc.subjectOMOP CDM
dc.subjectInteroperability
dc.subjectPopulation health data
dc.subjectCOVID-19
dc.subjectKenya
dc.titleHarmonizing Population Health Data into OMOP Common Data Model: A Demonstration Using COVID-19 Sero-Surveillance Data from Nairobi Urban Health and Demographic Surveillance System


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