Modelling the spread of infectious diseases in forest systems

模拟森林系统中传染病的传播

• 批准号: 2836457
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2836457
• 关键词: Modelling; spread; infectious; diseases; forest

The importance of pests and diseases associated with forests has never been greater, with highly damaging outbreaks, evidence of greater spread and impact, new organisms being introduced, and established threats exacerbated by changes in climate and host availability. Alongside fieldwork and experiments, theoretical models can provide key insights into how infectious diseases spread, but the spatially-structured nature of forest ecosystems presents key modelling challenges.In this project we will develop mathematical and computational models to understand the dynamics of infectious disease within forest ecosystems. The challenge of the PhD project will be to include vital real-world details into models, for example:- seasonality in both the disease and tree life-history traits,- periodic disturbances such as wildfires, and different disease control strategies,- community structure

与森林相关的病虫害的重要性从未如此之大，其爆发具有高度破坏性，有证据表明其传播和影响更大，新的生物体被引入，以及因气候和寄主可用性的变化而加剧的既定威胁。除了实地工作和实验之外，理论模型可以提供有关传染病如何传播的关键见解，但森林生态系统的空间结构性质提出了关键的建模挑战。在这个项目中，我们将开发数学和计算模型来了解森林内传染病的动态生态系统。博士项目的挑战是将重要的现实世界细节纳入模型中，例如： - 疾病和树木生命史特征的季节性， - 野火等周期性干扰，以及不同的疾病控制策略， - 群落结构