Naomi Waithira
Contact information
Podcast interview
Data, science and health
MORU Data Management focuses on tropical infectious diseases, gathering data from diverse sources like patient interviews, medical records and laboratory results. This data, stripped of identifying information, is organized for analysis. Past clinical data aids new insights, augmented by mathematical modelling and AI. MORU aims to improve healthcare by leveraging technology for accurate, impactful solutions.
Naomi Waithira
MORU head of Data Management
Naomi Waithira heads Data Management at Mahidol Oxford Research Unit (MORU) in Bangkok where she is responsible for supporting MORU researchers in planning, collecting, curating, storing and sharing data. Nested within the Clinical Trials Support Group, her team develops software applications and databases, curates data and provides training to study staff in Asia and Africa.
With a background in Computer Science, Naomi worked in software and database development since 2006. She has undertaken data management for numerous clinical trials and epidemiological surveillance projects. Naomi’s interest is to increase utility of data and software applications through: use of easy-to-access technology such as smartphones for data collection, automation of data curation processes and integration of information systems. Naomi works closely with collaborators to promote data sharing and apply the FAIR (Findable, Accessible, Interoperable and Reusable) principles in health data.
Recent publications
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Environmental detection ofBurkholderia pseudomalleiand associated melioidosis risk: a molecular detection and case-control cohort study
Pakdeerat S. et al, (2024)
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Data sharing and reuse in clinical research: Are we there yet? A cross-sectional study on progress, challenges and opportunities in LMICs
Waithira N. et al, (2024), PLOS Global Public Health, 4, e0003392 - e0003392
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Evaluation of an electronic clinical decision support algorithm to improve primary care management of acute febrile illness in rural Cambodia: protocol for a cluster-randomised trial
Chew R. et al, (2024), BMJ Open, 14, e089616 - e089616
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Evaluation of hydroxychloroquine or chloroquine for the prevention of COVID-19 (COPCOV): A double-blind, randomised, placebo-controlled trial.
Schilling WHK. et al, (2024), PLoS medicine, 21
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Temporal changes in SARS-CoV-2 clearance kinetics and the optimal design of antiviral pharmacodynamic studies: an individual patient data meta-analysis of a randomised, controlled, adaptive platform study (PLATCOV)
Wongnak P. et al, (2024), The Lancet Infectious Diseases, 24, 953 - 963