Rositsa Koleva-Kolarova
PhD
Senior Researcher
Rositsa works on a Horizon2020 funded project called HEcoPerMed (Health Economics for Personalised Medicine), which aims to provide guidance on state-of-the-art health economic modelling, and on financing and payment strategies for personalised medicine, to distinguish promises from reality.
Previously she held an appointment as a research fellow in health economics in the Department of Population Health Sciences, School of Population Health & Environmental Sciences, King’s College London. She worked on economic evaluation projects on stratifying antihypertensive treatment according to individuals’ ethnicity background, pharmacogenetics and pharmacogenomics for cardiovascular diseases, and evaluating new models of care (Vanguards).
Rositsa obtained her PhD from the University of Groningen, the Netherlands, and held an appointment as an assistant professor at the Department of Public Health Sciences, Faculty of Public Health, Medical University Pleven, Bulgaria. She joined the Health Economics Research Centre (HERC) in May 2019 as a senior researcher.
Recent publications
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Roux-en-Y gastric bypass, adjustable gastric banding, or sleeve gastrectomy for severe obesity (By-Band-Sleeve): a multicentre, open label, three-group, randomised controlled trial.
Journal article
By-Band-Sleeve Collaborative Group None., (2025), Lancet Diabetes Endocrinol
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Genetic-Guided Pharmacotherapy for Coronary Artery Disease: A Systematic and Critical Review of Economic Evaluations.
Journal article
Lim KK. et al, (2024), J Am Heart Assoc
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A protocol for mobilising novel finance models for collaborative health promotion and disease prevention initiatives: taking a smart capacitating investment approach in the Invest4Health project.
Journal article
Lane J. et al, (2024), Front Public Health, 12
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Cost-effectiveness of genetic-based screening strategies for maturity-onset diabetes of the young.
Journal article
Kovács G. et al, (2023), Per Med
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Lessons learned from the application of the HEcoPerMed guidance to three modeling case studies.
Journal article
Nagy B. et al, (2023), Per Med