• English
    • français
    • Swahili
  • English 
    • English
    • français
    • Swahili
  • Login
Advanced Search
Help Guide
View Item 
  •   Knowhub Home
  • Publications
  • Published Paper
  • Data Science Program
  • 2025
  • View Item
  •   Knowhub Home
  • Publications
  • Published Paper
  • Data Science Program
  • 2025
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Thumbnail
Date
2025
Author
Ochola, M.
Kiwuwa-Muyingo, S.
Bhattacharjee, T.
Amadi, D.
Ng'etich, M.
Kadengye, D.
Owoko, H.
Igumba, B.
Greenfield, J.
Todd, J.
Kiragga, A.
Metadata
Show full item record
Usage Stats
0
views
0
downloads

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.
Subject
OMOP CDM; Interoperability; Population health data; COVID-19; Kenya
URI
https://doi.org/10.3389/fdgth.2025.1423621
http://knowhub.aphrc.org/handle/123456789/2878
Collections
  • 2025 [21]

KnowHub software copyright © 2002-2022  LYRASIS
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of KnowhubCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

KnowHub software copyright © 2002-2022  LYRASIS
Contact Us | Send Feedback
Theme by 
Atmire NV