Qiangqiang Zhu

Email: q.zhu.1@research.gla.ac.uk

ORCID iDhttps://orcid.org/0009-0002-4377-6880

Research title: Spatio-temporal modelling of population-level disease risk when the populations at risk have partially unknown spatial locations

Research Summary

Research interests

  • Spatio-temporal Statistics
  • Environmental Epidemiology

Current research

  • My current research is to investigate and compare different modelling paradigms for spatio-temporal air pollution prediction in the context of a sparse and unevenly distributed monitoring network across Scotland
  • The best performing models based on predictive performance are selected for air pollution mapping at a high spatial resolution
  • The predictions are associated with chronic respiratory disease outcomes to explore the health impacts of air pollution based on hierarchical Bayesian framework

Publications

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Jump to: Articles
Number of items: 1.

Articles

Zhu, Q., Lee, D. and Stoner, O. (2024) A comparison of statistical and machine learning models for spatio-temporal prediction of ambient air pollutant concentrations in Scotland. Environmental and Ecological Statistics, (Accepted for Publication)

This list was generated on Mon Dec 30 03:50:39 2024 GMT.

Supervisors

Conference

Additional Information

  • MSc in Statistics at University of Southampton, 2021-2022
  • BSc in Applied Statistics at Shanghai University of International Business and Economics, 2017-2021