Stella Nanyonga
Research Pharmacist-AMR
Stella Maris Nanyonga joined the Medicine Quality Research Group as a Research Pharmacist-AMR in 2022. She coordinates the work on analyzing the prioritization of interventions countering substandard and falsified antimicrobials in National Action Plans against antimicrobial resistance (AMR) in Sub-Saharan Africa.
Stella is a Clinical Pharmacist and Clinical Epidemiologists with a degree in Pharmacy from Makerere University in Uganda, an MSc in Clinical Pharmacy, International Practice and Policy from the London School of Pharmacy and an MSc in Clinical Epidemiology and Biostatistics from Makerere University in Uganda. Stella brings on board pharmacy input to a cutting-edge research network of data scientists, forensic biologists, chemists, sociologists, data scientists, software engineers, modellers, and physicians as well as the Infectious Diseases Data Observatory (IDDO) informatics and data management teams working on parallel research on the use of biological and chemical forensics to analyze and model the impact of substandard and falsified antimicrobials on patient outcome and antimicrobial resistance.
DPhil project overview
Recent publications
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Empowering Global AMR Research Community: Interactive GIS dashboards for AMR data analysis and informed decision-making
Journal article
Opiyo SO. et al, (2024), Wellcome Open Research, 9, 234 - 234
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The uncertain role of substandard and falsified medicines in the emergence and spread of antimicrobial resistance.
Journal article
Cavany S. et al, (2023), Nature communications, 14
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Mortality rate and associated factors among patients co-infected with drug resistant tuberculosis/HIV at Mulago National Referral Hospital, Uganda, a retrospective cohort study
Journal article
Bayowa JR. et al, (2023), PLOS Global Public Health, 3, e0001020 - e0001020
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HESITANCY IN COVID-19 VACCINE UPTAKE IN UGANDA: Understanding Community Perceptions in Kampala, Mukono and Wakiso Districts
Report
Kibira D. et al, (2022)
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Implementation of a peer support intervention to promote the detection, reporting and management of adverse drug reactions in people living with HIV in Uganda: a protocol for a quasi-experimental study
Journal article
Kiguba R. et al, (2022), BMJ Open, 12, e056039 - e056039
Team: Medical Quality Research Group
Address:
Big Data Institute
University of Oxford
Li Ka Shing Centre for Health Information and Discovery
Old Road Campus
Oxford OX3 7LF
UK