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

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

BackgroundObservational health data are collected in different formats and structures, making it challenging to analyze with common tools. The Observational Medical Outcome Partnership (OMOP) Common Data Model (CDM) is a standardized data model that can harmonize observational health data.ObjectiveT...

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Bibliographic Details
Main Authors: Michael Ochola, Sylvia Kiwuwa-Muyingo, Tathagata Bhattacharjee, David Amadi, Maureen Ng’etich, Damazo Kadengye, Henry Owoko, Boniface Igumba, Jay Greenfield, Jim Todd, Agnes Kiragga
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Digital Health
Subjects:
observational health data
OMOP CDM
population health data
COVID-19
sero-surveillance
Nairobi Urban HDSS
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2025.1423621/full
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https://www.frontiersin.org/articles/10.3389/fdgth.2025.1423621/full

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