Modelling Short and Long-Term Effects of Air Pollution and Temperature on Population Health and Mortality

该项目的目标是：首先，调查空气污染和极端天气事件对英国各人口亚组的健康和死亡率的短期和长期影响。第二，建立一个多水平生存模型，研究时变背景因素对个体健康和死亡率的影响。该项目将开发一个多层次（随机效应）生存模型，并将其应用于苏格兰纵向研究（SLS）和与环境数据相关的ONS纵向研究（LS）的个人数据。LS将提供研究污染和极端天气对个人健康和死亡率影响的机会。SLS数据将用于详细分析空气污染和（主要是）寒冷天气对个人健康和死亡率的影响，并提供个人居住史和医院就诊信息。该项目将提高我们对极端天气事件和空气污染如何相互作用影响英国人口亚群体的健康和死亡率的理解。所开发的方法可以应用于研究个人行为的其他领域（例如，移民，生育率，就业）的背景效应”注：上述引用的部分摘自研究提案表，该表用于未来博士候选人的招聘过程。该表格不再在线提供。

The aims of this project are: First, to investigate short and long-term effects of air pollution and extreme weather events on health and mortality across population sub-groups in Britain. Second, to develop a multilevel survival model to study the effect of time-varying contextual factors on individuals' health and mortality. The project will develop and apply a multilevel (random-effect) survival model to individual-level data from the Scottish Longitudinal Study (SLS) and the ONS Longitudinal Study (LS) linked to environmental data. The LS will provide the opportunity to study the effects of pollution and extreme weather on individuals' health and mortality. The SLS data will be used to conduct detailed analysis of the impact of air pollution and (primarily) cold weather on individuals' health and mortality, with information available on individuals' residential histories and hospital visits. The project will improve our understanding of how extreme weather events and air pollution interact in influencing health and mortality of population sub-groups in Britain. The developed method could be applied to study contextual effects on other domains of individuals' behaviour (e.g. migration, fertility, employment)" Note: The above quoted section was taken from the research proposal form, which was used in the recruiting process for a prospective PhD candidate. The form is no longer available online.