Dr. Yevhen Supruneko

Research Group

Epidemiology and Modelling

Biography

My research focuses on establishing the role of intrinsic scales of an epidemic, cropping pattern and density in epidemic spread and control. Primarily, I develop models and theoretical descriptions of the spatial spread of plant pests and viruses (e.g. oak processionary moth, cassava brown streak disease) focusing on the role of spatially explicit dynamics, spatial structure of the host landscape, stochasticity and time-variability, all of which influence the pest and pathogen distribution range, severity of an epidemic, and optimal control strategies.

Qualifications

PhD in Theoretical Physics (Condensed Matter)  -  Lancaster University, UK

Publications

'Analytical approximation for invasion and endemic thresholds, and the optimal control of epidemics in spatially explicit individual-based models', (2021) Journal of the Royal Society Interface.

'A unified framework for analysis of individual-based models in ecology and beyond', (2019) Nature Communications.

'Estimating expansion of the range of oak processionary moth (Thaumetopoea processionea) in the UK from 2006 to 2019', (2021) Agricultural and Forest Entomology.

'Chronotaxic Systems: A New Class of Self-Sustained Nonautonomous Oscillators', (2013) Physical Review Letters.

'Phases of the excitonic condensate in two-layer graphene', (2012) Physical Review B.

Media

'Cambridge scientists say wearing face coverings will be necessary long after lockdown', (2021) ITV News Anglia.

'Widespread use of control measures such as facemasks is vital to suppress the pandemic as lockdown lifts, say scientists', (2021) University of Cambridge Press Office.

'Toxic oak moth threatens UK trees after failure to control its spread', (2021) New Scientist.

'APS Focus Article: Modeling the Not-So-Steady Heart', (2013) Physics.