• English
    • français
    • Swahili
  • Swahili 
    • English
    • français
    • Swahili
  • Ingia ndani
Advanced Search
Help Guide
Kioneshe 
  •   DSpace Mwanzo
  • Publications
  • Published Paper
  • Data Science Program
  • 2025
  • Kioneshe
  •   DSpace Mwanzo
  • Publications
  • Published Paper
  • Data Science Program
  • 2025
  • Kioneshe
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
Tarehe
2025
Mwandishi
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

Kwa ufupi
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.
Somo
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
Wasiliana nasi | Tuma maoni
Theme by 
Atmire NV
 

 

Peruzi

Dspesi yoteJumuhia na VifunguTarehe ya tukioMwandishi wa kitabuJina la kitabuSomoKifungu hikiTarehe ya tukioMwandishi wa kitabuJina la kitabuSomo

My Account

KuingiaSajili

KnowHub software copyright © 2002-2022  LYRASIS
Wasiliana nasi | Tuma maoni
Theme by 
Atmire NV