Regional (Australia, New Zealand) comparison of trends in zoonoses and their associations with environmental, socio-economic and demographic factors.

Developing spatial methods to integrate global data and predict the risk of infections under different scenarios of climate and land use change.

Understanding CDAD requires considering the effects of the interaction of C. difficile, its toxins, the human immune system, gut flora and antibiotics. Mathematical modelling of these factors can be used to confirm, support or generate new hypotheses.

Modelling spatio-temporal patterns of MRSA and C. difficile infection and its association with environmental and demographic factors

This collaborative project seeks to harness rapid advances in genomics, epidemiology and mathematical modelling to identify risks and reduce human illnesses from Campylobacter in Australia.

This study will investigate the trends, burden and sources of Salmonella in Australia, as well as examine the public health implications of new Salmonella testing and typing technologies.