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Field of Research : Epidemiology
Research Topic : Policy analysis
Australian State/Territory : SA
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  • Researchers (13)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP180103106

    Funder
    Australian Research Council
    Funding Amount
    $368,400.00
    Summary
    Advanced mathematical models and methods for a randomly-varying world. This project aims to develop advanced stochastic models and novel techniques, to analytically obtain performance measures and to efficiently simulate the time evolution. This project also plans to apply new models and methods to address important problems in ecology and epidemiology. The outputs of this project will advance knowledge in mathematics as well as in the intended application areas, including ultimately in improved .... Advanced mathematical models and methods for a randomly-varying world. This project aims to develop advanced stochastic models and novel techniques, to analytically obtain performance measures and to efficiently simulate the time evolution. This project also plans to apply new models and methods to address important problems in ecology and epidemiology. The outputs of this project will advance knowledge in mathematics as well as in the intended application areas, including ultimately in improved understanding, modelling, and tracking of the spread of diseases.
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    Funded Activity

    Discovery Projects - Grant ID: DP110102893

    Funder
    Australian Research Council
    Funding Amount
    $248,000.00
    Summary
    New methods for integrating population structure and stochasticity into models of disease dynamics. Epidemics, such as the 2007 equine 'flu outbreak and 2009 swine 'flu pandemic, highlight the need to make informed decisive responses. This project will develop new methods that incorporate two important aspects of disease dynamics---host structure and chance---into mathematical models, and determine their impact in terms of controlling infections.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669303

    Funder
    Australian Research Council
    Funding Amount
    $265,000.00
    Summary
    Ecological-epidemiological models of feral swamp buffalo control in northern Australia. This research is locally, nationally and internationally significant because it 1) improves the capacity of the Northern Territory and its traditional aboriginal owners to manage together this prevalent species in an effort to minimise disturbance to native flora and fauna and to understand the long-term implications of continued proliferation, 2) provides a nationally relevant system to monitor and project t .... Ecological-epidemiological models of feral swamp buffalo control in northern Australia. This research is locally, nationally and internationally significant because it 1) improves the capacity of the Northern Territory and its traditional aboriginal owners to manage together this prevalent species in an effort to minimise disturbance to native flora and fauna and to understand the long-term implications of continued proliferation, 2) provides a nationally relevant system to monitor and project the spread of disease through feral animal populations in Australia, and 3) combines quantitative data and robust analytical tools that can be used as a template for solving many broad-scale feral animal problems around the world.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT130100254

    Funder
    Australian Research Council
    Funding Amount
    $619,381.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP160101735

    Funder
    Australian Research Council
    Funding Amount
    $580,000.00
    Summary
    Changing children’s chances: Exploring pathways to developmental inequities. This project aims to investigate the causes of health and developmental inequities between Australian children. Inequities are increasingly observed in Australian children’s physical health, social and emotional wellbeing, and academic learning. Such inequities are unjust, unnecessary and potentially preventable. This project aims to understand the pathways leading to these inequities by examining the many contexts in w .... Changing children’s chances: Exploring pathways to developmental inequities. This project aims to investigate the causes of health and developmental inequities between Australian children. Inequities are increasingly observed in Australian children’s physical health, social and emotional wellbeing, and academic learning. Such inequities are unjust, unnecessary and potentially preventable. This project aims to understand the pathways leading to these inequities by examining the many contexts in which children and their families live and grow. Through a series of innovative analyses using existing data, the project aims to identify potentially modifiable factors at the child, family, school, and community level that contribute to developmental inequities. Understanding of the most promising leverage points for interventions to reduce inequities for Australian children could be used to inform policy.
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