My research interests include infectious disease modelling; spatial and spatiotemporal statistical methods; and surveillance models as applied to (veterinary) epidemiology, environmental science, and ecotoxicology. Key research topics include:
- Modelling infectious diseases. Prof. Deeth has developed a latent conditional individual-level model for infectious diseases, as well as investigated the effect of clustering individuals to reduce the computation burden associated with these models. She and her students are comparing model predictive capabilities versus computation expense when using a population reduction technique (e.g. clustering) compared to approximation techniques (e.g. Bayesian computation) for fitting individual-level models.
- Environmental Toxicology. Prof. Deeth also conducts collaborative research that explores models for environmental effects monitoring programs.
My teaching interests include teaching undergraduate through graduate level statistics courses; the development of course content and resources for all levels of statistics courses; collaborative learning initiatives to assist with the transition from high school to university level mathematics and statistics.