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Naomi Waithira

Naomi Waithira

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.

View podcast transcript

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.

Publications

Recent publications

Lessons from the field: implementing an electronic clinical decision support app for acute febrile illness in rural Cambodia

Journal article

Mishra A. et al, (2026), Transactions of The Royal Society of Tropical Medicine and Hygiene, 120, 741 - 745

A Clinically-Oriented Antimicrobial Resistance Surveillance Network 2 (ACORN2): Results from three hospitals in Vietnam

Journal article

Thi HN. et al, (2026), International Journal of Infectious Diseases, 168, 108673 - 108673

Predicting referral need for febrile children in low-resource community settings in South and Southeast Asia

Journal article

Chandna A. et al, (2026), Nature Medicine, 32, 1907 - 1916

Impact of an electronic clinical decision support algorithm (eCDSA) on antibiotic prescribing in primary care in Cambodia: A cluster randomised controlled trial

Journal article

Wynberg E. et al, (2026), International Journal of Infectious Diseases, 164, 108382 - 108382

Data reuse in global health: perspectives from actors in policy, funding and research

Journal article

Waithira N. et al, (2026), BMJ Global Health, 11, e021974 - e021974