Assessing the Short/Long Run Relationship Between Climate Change and Air Quality Index on Lifestyle and All-Cause Mortality Measured by UK Biobank

This proposal aims to investigate the short and long-term impacts of climate change and air quality index on lifestyle and all-cause mortality using data from the UK Biobank. By developing a multivariate time series model using advanced machine learning algorithms, we intend to identify the most influential pollutants on participants' health and predict the causality of mortality. Various multivariate time series algorithms will be compared to determine the most accurate model.

This is an application to International Center of Mathematics and Statistics (ICMS) KE Catalyst Round 2. We requested £40,011.60, but the application was turned out to be unsuccessful.