Associate Professor Goylette Chami
Contact information
Goylette Chami
MPhil PhD
Associate Professor, Robertson Fellow
Goylette is an infectious disease epidemiologist in the Big Data Institute (BDI) within Oxford Population Health. She leads an interdisciplinary research group of health data scientists, epidemiologists, spatial modellers, and clinicians. Her team works on the prevention, treatment, and management of schistosomiasis as well as its progression and interactions with other endemic infections.
Their research seeks to understand transmission, treatment, and morbidity related to schistosomiasis. It requires large-scale primary data collection including observational studies and prospective cohorts with an outlook towards randomised-controlled trials.
In close collaboration with the Uganda Ministry of Health, Goylette leads the Oxford-Uganda Collaboration on Schistosomiasis. In Western and Eastern Uganda, the team has a community-based, prospective human participant cohort ongoing in the context of Schistosoma mansoni.
Current areas of research include granular evaluation of schistosome exposure and transmission with spatial evaluation, assessment of gut and liver multimorbidities within and across individuals, identification of the clinical and social consequences of coinfections, and integration of schistosomiasis management into primary health care centres. To address the complexity of these research areas, Goylette's team combines methods from epidemiology and parasitology with network science, applied statistics, and machine learning.
Her research programme contributes directly to global health policies at national (UK, Uganda) and international (WHO, African Union) levels. Goylette is a member of the WHO Diagnostics and Technical Advisory Group for neglected tropical diseases within the cross-cutting disease subtheme.
In 2021, she was awarded the Odile Bain Memorial Prize for contributions to medical parasitology. Before joining Oxford, Goylette completed an MPhil and PhD at the University of Cambridge and held a Junior Research Fellowship in Medical Sciences at King’s College Cambridge.
Goylette welcomes queries about DPhil or postdoctoral opportunities.
Recent publications
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An automated pipeline for the identification of liver tissue in ultrasound video
Conference paper
Ockenden E. et al, (2024), Communications in Computer and Information Science
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The epidemiology of periportal fibrosis and relevance of current Schistosoma mansoni infection within the context of repeated mass drug administration: a population-based, cross-sectional study in rural Uganda
Journal article
Chami G., (2024), The Lancet Microbe
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The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: A systematic scoping review.
Journal article
Ockenden ES. et al, (2024), PLoS Negl Trop Dis, 18
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An Automated Pipeline for the Identification of Liver Tissue in Ultrasound Video
Preprint
Ockenden E. et al, (2024)
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Association of currentSchistosoma mansoni, S. japonicum,andS. mekongiinfection status and intensity with periportal fibrosis: a systematic review and meta-analysis
Preprint
Ewuzie A. et al, (2024)