Dr Prabin Dahal
Contact information
Research groups
Prabin Dahal
Research Fellow
- Senior Statistician, Infectious Diseases Data Observatory
- Teaching Fellow in 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.
Recent publications
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Temporal distribution of Plasmodium falciparum recrudescence following artemisinin-based combination therapy: an individual participant data meta-analysis
Dahal P. et al, (2022), Malaria Journal, 21
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Antimicrobial resistance patterns in bacteria causing febrile illness in Africa, South Asia, and Southeast Asia: a systematic review of published etiological studies from 1980-2015
Roberts T. et al, (2022), International Journal of Infectious Diseases, 122, 612 - 621
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The prognostic utility of soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PIGF) biomarkers for predicting preeclampsia: a secondary analysis of data from the INSPIRE trial.
Kifle MM. et al, (2022), BMC pregnancy and childbirth, 22
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Infectious diseases data observatory (IDDO) visceral leishmaniasis library of clinical therapeutic studies: A protocol for a living systematic review of clinical studies
Singh-Phulgenda S. et al, (2022), Wellcome Open Research, 7, 155 - 155
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Clinical impact of vivax malaria: A collection review
Phyo AP. et al, (2022), PLOS Medicine, 19, e1003890 - e1003890