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Developing mathematical models and statistical methods to understand the dynamics of infectious diseases: stochasticity, structure and inference

Developing mathematical models and statistical methods to understand the dynamics of infectious diseases: stochasticity, structure and inference
开发数学模型和统计方法来了解传染病的动态:随机性、结构和推理
批准号:
FT130100254
负责人:
Prof Joshua Ross
金额:
$43.09万
依托单位:
依托单位国家:
澳大利亚
项目类别:
ARC Future Fellowships
财政年份:
2014
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2014-06-30 至 2018-12-31

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中文摘要
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英文摘要
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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New methods for integrating population structure and stochasticity into models of disease dynamics
  • 批准号:
    DP110102893
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $17.35万
  • 财政年份:
    2011
  • 负责人:
    Prof Joshua Ross
  • 依托单位:
Stochastic methods for studying models of infection and abundance
  • 批准号:
    DP0878681
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $0.0万
  • 财政年份:
    2008
  • 负责人:
    Prof Joshua Ross
  • 依托单位:
海外基金