Development of population-level algorithms for modelling genomic variation and its impact on cellular function in animals and plants. The purpose of this project is to develop mathematical and computational tools which will enable researchers to model high-throughput biological data at the population level. These models will be used to uncover the effect that genetic variation has on the physiology of the cell and the organism.
Assessing the social and environmental determinants of seasonal influenza outbreaks. This project aims to examine the potential social and environmental predictors of seasonal influenza outbreaks across temperate and tropical climates. It will develop a spatiotemporal model to identify where, when and who is most susceptible to changes of risk in influenza epidemic-prone regions of Queensland, Australia and Gansu province and Shanghai City, China. A spatiotemporal predictive model for influenza ....Assessing the social and environmental determinants of seasonal influenza outbreaks. This project aims to examine the potential social and environmental predictors of seasonal influenza outbreaks across temperate and tropical climates. It will develop a spatiotemporal model to identify where, when and who is most susceptible to changes of risk in influenza epidemic-prone regions of Queensland, Australia and Gansu province and Shanghai City, China. A spatiotemporal predictive model for influenza will be useful for the early identification of impending epidemics, which will lead to a more rapid and efficiently targeted response than is possible with the current system, thereby reducing the magnitude and health and economic impact of epidemics.Read moreRead less
Developing mathematical models and statistical methods to understand the dynamics of infectious diseases: stochasticity, structure and inference. Infectious diseases remain a major contributor to mortality and illness worldwide. The potential for future severe pandemics also continues to present a substantial threat to our health and well-being. Mathematics and statistics are increasingly becoming part of the arsenal used by governments to combat the invasion and spread of infectious diseases. I ....Developing mathematical models and statistical methods to understand the dynamics of infectious diseases: stochasticity, structure and inference. Infectious diseases remain a major contributor to mortality and illness worldwide. The potential for future severe pandemics also continues to present a substantial threat to our health and well-being. Mathematics and statistics are increasingly becoming part of the arsenal used by governments to combat the invasion and spread of infectious diseases. In such work, three themes have emerged as having the potential to revolutionise the modelling of infectious diseases: stochasticity, structure (both age and spatial), and inference. This project will develop state-of-the-art techniques, at the interface of these themes, of critical importance to understanding the dynamics of infectious diseases.Read moreRead less