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

• Michael Ochola,
• Sylvia Kiwuwa-Muyingo,
• Tathagata Bhattacharjee,
• David Amadi,
• Maureen Ng’etich,
• Damazo Kadengye,
• Henry Owoko,
• Boniface Igumba,
• Jay Greenfield,
• Jim Todd,
• Agnes Kiragga,
• Agnes Kiragga

Affiliations

Michael Ochola

Data Science Program, African Population and Health Research Center (APHRC), Nairobi, Kenya

Sylvia Kiwuwa-Muyingo

Data Science Program, African Population and Health Research Center (APHRC), Nairobi, Kenya

Tathagata Bhattacharjee

Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, University of London, London, United Kingdom

David Amadi

Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, University of London, London, United Kingdom

Maureen Ng’etich

Data Science Program, African Population and Health Research Center (APHRC), Nairobi, Kenya

Damazo Kadengye

Data Science Program, African Population and Health Research Center (APHRC), Nairobi, Kenya

Henry Owoko

Data Science Program, African Population and Health Research Center (APHRC), Nairobi, Kenya

Boniface Igumba

Data Science Program, African Population and Health Research Center (APHRC), Nairobi, Kenya

Jay Greenfield

Machine Learning (AI and ML), Committee on Data of the International Science Council (CODATA), Paris, France

Jim Todd

Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, University of London, London, United Kingdom

Agnes Kiragga

Data Science Program, African Population and Health Research Center (APHRC), Nairobi, Kenya

Agnes Kiragga

Implementation Network for Sharing Population Information from Research Entities (INSPIRE Network), Nairobi, Kenya