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Research Topic : Predictive Modelling
Field of Research : Epidemiology
Australian State/Territory : VIC
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  • Funded Activity

    Understanding The Sources Of Campylobacter In Australia

    Funder
    National Health and Medical Research Council
    Funding Amount
    $546,720.00
    Summary
    Campylobacter is a key cause of foodborne disease in Australia, with rates of illness amongst the highest in the world. Our project brings together academic, government and industry partners to harness new genetic techniques to better identify sources and risk factors for Campylobacter infection. The project will assist health agencies to include genomics in public health, with findings directly informing government policies and industry practices to minimise disease caused by Campylobacter.
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    Funded Activity

    Discovery Projects - Grant ID: DP0878681

    Funder
    Australian Research Council
    Funding Amount
    $249,000.00
    Summary
    Stochastic methods for studying models of infection and abundance. The outcomes of this project will have immense benefit to Australia. They impact upon two areas of national importance, namely ensuring an environmentally sustainable Australia, and safeguarding Australia. In particular, the project will provide models, methodology and optimal strategies for sustainable use of Australia's biodiversity, for protecting Australia from invasive diseases and pests, and for protecting Australia from te .... Stochastic methods for studying models of infection and abundance. The outcomes of this project will have immense benefit to Australia. They impact upon two areas of national importance, namely ensuring an environmentally sustainable Australia, and safeguarding Australia. In particular, the project will provide models, methodology and optimal strategies for sustainable use of Australia's biodiversity, for protecting Australia from invasive diseases and pests, and for protecting Australia from terrorism and crime. Special focus will be given to the control of invasive species, the control of emerging infections, and the optimal allocation of resources. The current risks posed by invasive diseases and pests, and the alarming rate of destruction of biodiversity, warrant urgent funding of this project.
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    Funded Activity

    Discovery Projects - Grant ID: DP120103277

    Funder
    Australian Research Council
    Funding Amount
    $179,362.00
    Summary
    Developing a disability policy model to target the prevention or reduction of limitations on functioning and wellbeing. With the ageing of Australian society the challenge for public health is shifting from preventing death and disease onset to supporting healthy and productive ageing. The disability policy model will allow cost-effective targeting of interventions to reduce or prevent onset of disability or reduce its severity particularly among older Australians.
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    Funded Activity

    Discovery Projects - Grant ID: DP160102742

    Funder
    Australian Research Council
    Funding Amount
    $510,000.00
    Summary
    Large-scale computational modelling of epidemics in Australia. The project aims to develop novel computational epidemiological models to contribute to guidelines for optimal prophylaxis, vaccination and case management. Emerging threats posed by infectious diseases and bioterrorism could have dramatic effects on the Australian population, productivity and economy. The project aims to improve the accuracy and scope of modern computational epidemiological models by integrating large-scale Census d .... Large-scale computational modelling of epidemics in Australia. The project aims to develop novel computational epidemiological models to contribute to guidelines for optimal prophylaxis, vaccination and case management. Emerging threats posed by infectious diseases and bioterrorism could have dramatic effects on the Australian population, productivity and economy. The project aims to improve the accuracy and scope of modern computational epidemiological models by integrating large-scale Census datasets and explicitly simulating the entire population down to the level of single individuals, coupled with complex network-based and information flow analysis. The intended outcomes include a more precise and efficient forecasting of critical epidemic dynamics, and increased effectiveness of prevention, mitigation and management of socio-economic, socio-ecological and national security crises.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE230100730

    Funder
    Australian Research Council
    Funding Amount
    $448,000.00
    Summary
    Strategies to minimise the societal impacts of zoonotic pandemics. The continuing pandemic has had unprecedented effects across society. Population mobility restrictions have been effective in slowing transmission, but are only effective while in place and have dramatic adverse effects. Despite Australia’s relative success, we have lacked a clear national strategy to guide the optimal deployment of such restrictions. During this fellowship, I will use robust software development practices to dev .... Strategies to minimise the societal impacts of zoonotic pandemics. The continuing pandemic has had unprecedented effects across society. Population mobility restrictions have been effective in slowing transmission, but are only effective while in place and have dramatic adverse effects. Despite Australia’s relative success, we have lacked a clear national strategy to guide the optimal deployment of such restrictions. During this fellowship, I will use robust software development practices to develop a unified software platform that integrates semi-mechanistic, particle filter and agent-based methodologies. I will then use this platform to quantify the effects of mobility restrictions and define the optimal strategic response that should be selected based on the characteristics of a newly emerged pathogen.
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    Showing 1-5 of 5 Funded Activites

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