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Using mathematical modelling to inform HIV/AIDS public health policy. This research will directly inform HIV/AIDS policy officials on the most effective strategies for preventing new cases in HIV in the community. Consequently, there are health benefits for Australia and for the other countries in which the research is being conducted. HIV/AIDS community groups, educators, and other advocacy groups will also be engaged in the research, leading to the development of focussed prevention campaigns ....Using mathematical modelling to inform HIV/AIDS public health policy. This research will directly inform HIV/AIDS policy officials on the most effective strategies for preventing new cases in HIV in the community. Consequently, there are health benefits for Australia and for the other countries in which the research is being conducted. HIV/AIDS community groups, educators, and other advocacy groups will also be engaged in the research, leading to the development of focussed prevention campaigns by these stakeholders to inform the appropriate communities. Reducing the health burdens of HIV/AIDS will also have economic benefits.Read moreRead less
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less