...

lbolton@sun.ac.za

Larisse Bolton, PhD

Researcher

Research theme: Optimising Health Systems

Larisse Bolton holds a BSc in Chemistry and a PhD in Applied Mathematics from the University of the Free State in Bloemfontein, South Africa. Her postgraduate research focused on the application of mathematical modelling in oncology using different approaches – model adaptation and model construction. She was a postdoctoral research fellow at the DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA) in Stellenbosch from 2018-2021 and now holds the position of Researcher at SACEMA. Her current research focuses on blood systems analysis. She has been assessing blood product usage and demand in South Africa and is developing a predictive model for red blood cell product usage. The model will be used to investigate various scenarios of health system structuring.

Recent publications

Bolton L, Bekker A, Govender NP, van Schalkwyk C, Whitelaw A, Dramowski A (2022) Neonatal sepsis: challenges in data access, harmonization and analysis to inform empiric antibiotic recommendations in South African neonatal units https://www.researchgate.net/publication/363137393_Neonatal_sepsis_challenges_in_data_access_harmonization_and_analysis_to_inform_empiric_antibiotic_recommendations_in_South_African_neonatal_units Preprint


Bolton L, van den Berg K, Swanevelder R, Pulliam JCR (2021) Characterising differences in red blood cell usage patterns between healthcare sectors in South Africa: 2014-2019 Blood Transfusion doi.org/10.2450/2021.0209-21


Bolton L, van den Berg K, Swanevelder R, Pulliam JCR (2021) Mind the gap: Patterns of red blood cell product usage in South Africa, 2014 - 2019 The South African Medical Journal doi.org/10.7196/SAMJ.2021.v111i10.15658


Bolton, L., T. M. Acho, D. K. Stones, & C. Hui (2020) Describing the evolution of myeloid-derived leucocytes in treated B-lineage paediatric acute lymphoblastic leukaemia with a data-driven granulocyte-monocyte-blast model. Mathematical Medicine and Biology: A Journal of the IMA doi: 10.1093/imammb/dqaa003


DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis