Christopher Maronga
BSc, MSc
Data Manager
Christopher is the data manager for the European Prospective Investigation into Cancer and Nutrition (EPIC-Oxford) and Feeding the Future Study (FEED) studies in the Cancer Epidemiology Unit. He holds an MSc in Statistical Science from Strathmore University and a BSc in Mathematics from Jomo Kenyatta University of Agriculture and Technology, in Kenya, East Africa.
Having worked at Oxford University’s Nuffield Department of Orthopaedics (NDORMS) and Nuffield Department of Medicine before joining Oxford Population Health, Christopher has a broad experience in managing and analysing healthcare data, and has led successful data management teams in several projects in the course of his career.
He is passionate about creating robust and automated data products and advocating for reproducible research using open-source tools such as R statistical software and RShiny.
Recent publications
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Hospital readmission following acute illness among children 2–23 months old in sub-Saharan Africa and South Asia: a secondary analysis of CHAIN cohort
Journal article
Hama Diallo A. et al, (2024), eClinicalMedicine, 73
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Childhood growth during recovery from acute illness in Africa and South Asia: a secondary analysis of the childhood acute illness and nutrition (CHAIN) prospective cohort.
Journal article
Bourdon C. et al, (2024), EClinicalMedicine, 70
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The burden of antimicrobial resistance in the Americas in 2019: a cross-country systematic analysis.
Journal article
Antimicrobial Resistance Collaborators None., (2023), Lancet Reg Health Am, 25
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PREVALENCE OF CARDIOVASCULAR DISEASE EVENTS AND DETERMINANTS IN PATIENTS WITH X-LINKED HYPOPHOSPHATEMIA
Conference paper
Maronga C. et al, (2023)
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Expected Benefits and Budget Impact From a Microsimulation Model Support the Prioritization and Implementation of Fracture Liaison Services.
Journal article
Pinedo-Villanueva R. et al, (2023), J Bone Miner Res, 38, 499 - 511