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.author	Ochola, M.
dc.contributor.author	Kiwuwa-Muyingo, S.
dc.contributor.author	Bhattacharjee, T.
dc.contributor.author	Amadi, D.
dc.contributor.author	Ng'etich, M.
dc.contributor.author	Kadengye, D.
dc.contributor.author	Owoko, H.
dc.contributor.author	Igumba, B.
dc.contributor.author	Greenfield, J.
dc.contributor.author	Todd, J.
dc.contributor.author	Kiragga, A.
dc.date.accessioned	2025-12-18T10:57:40Z
dc.date.available	2025-12-18T10:57:40Z
dc.date.issued	2025
dc.identifier.uri	https://doi.org/10.3389/fdgth.2025.1423621
dc.identifier.uri	http://knowhub.aphrc.org/handle/123456789/2878
dc.description.abstract	This 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.publisher	Frontiers
dc.subject	OMOP CDM
dc.subject	Interoperability
dc.subject	Population health data
dc.subject	COVID-19
dc.subject	Kenya
dc.title	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

Files in this item

Files	kiasi	Format	Onesha
There are no files associated with this item.