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
Data reuse in global health: perspectives from actors in policy, funding and research.
Journal article
Waithira N. et al, (2026), BMJ Glob Health, 11
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), Int J Infect Dis
Single-step versus conventional injectable artesunate for severe malaria in children: an open label, non-inferiority randomized clinical trial, Democratic Republic of the Congo and United Republic of Tanzania.
Journal article
Gesase S. et al, (2026), Bull World Health Organ, 104, 17 - 27
Prospective characterisation of drug-resistant bloodstream infections in Africa and Asia (ACORN2): a surveillance network assessment.
Journal article
Hopkins J. et al, (2026), Lancet Microbe, 7
Factors associated with positive blood cultures in children in nine African and Asian countries: the ACORN2 surveillance network.
Journal article
Ardura-Garcia C. et al, (2025), BMJ Glob Health, 10
