Prabin Dahal
DPhil PGCertTLHE FHEA
Head of Statistics & Sciences, Infectious Diseases Data Observatory
- Head of Statistics and Sciences, Infectious Diseases Data Observatory
- Module lead in Medical Statistics, MSc in Modelling for Global Health
- Teaching Fellow in Epidemiology & Statistics, MSc in International Health and Tropical Medicine
Research summary
I am a statistician based at Infectious Diseases Data Observatory (IDDO). I have a broad interest in epidemiology of infectious diseases (Malaria and Visceral Leishmaniasis in particular). My research has primarily focused on delineation of dose-response relationships for commonly used antimalarial drugs through individual participant data meta-analysis and assessment of safety of antileishmanial drugs.
Prior to my current role, I completed first and second degrees in Statistics from the University of Reading, spent a year at Safety Assessment and Pharmaceutical Development unit at GlaxoSmithKline supporting pre-clinical studies, and completed DPhil in Clinical Medicine on investigation of statistical issues in antimalarial clinical studies.
I was a Susan and George Brownlee Junior Research Fellow in Biomedical Sciences at Linacre College (2019-2021).
Recent publications
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Efficacy of artemisinin-based combination therapy (ACT) in people living with HIV (PLHIV) diagnosed with uncomplicated Plasmodium falciparum malaria in Africa: a WWARN systematic review.
Journal article
Takyi A. et al, (2025), Malar J, 24
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Influence of context on engagement with COVID-19 testing: a scoping review of barriers and facilitators to testing for healthcare workers, care homes and schools in the UK.
Journal article
Andersen-Waine B. et al, (2025), BMJ Open, 15
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A systematic review of the noma evidence landscape: current knowledge and gaps
Preprint
Maguire BJ. et al, (2025)
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A protocol for a systematic review and individual patient data meta-analysis investigating the relationship betweenPfkelch13mutations and response to artemisinin-based treatment for uncomplicated falciparum malaria
Preprint
van Wyk S. et al, (2025)
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Mass testing for discovery and control of COVID-19 outbreaks in adult social care: an observational study and cost-effectiveness analysis of 14 805 care homes in England.
Journal article
Chen S. et al, (2025), BMJ Public Health, 3