Robin Muegge



Research title: Spatiotemporal areal data modelling: COVID-19 applications and boundary detection for big data

Research Summary

Current Research

My research focus is on the spatio-temporal modelling of areal data. In particular, I work with public health data and epidemiology applications. My first completed research project is estimating the impact of the national lockdowns on COVID-19 mortality risks in England. My second project is on analysing attrition rates for the second and third doses of the COVID-19 vaccination programme in Scotland, particularly investigating age group trends in the attrition rates and their patterns across council areas.

My upcoming research is combining spatio-temporal statistics with machine learning techniques for outlier detection.


Muegge, R. Dean, N. Jack, E. and Lee, D. (2023) National lockdowns in England: the same restrictions for all, but do the impacts on COVID-19 mortality risks vary geographically? Spatial and Spatio-Temporal Epidemiology, 44, 100559. (doi: 10.1016/j.sste.2022.100559) (PMCID:PMC9719849)


Organised conference session at Royal Statistical Society Conference 2023.

Organised conference session at GEOMED conference in 2022.

Poster Presentation at Royal Statistical Society Conference 2022.


Academic year 2023/24:

Statistics 1Y: Introduction to Statistics (STATS1002)

Principles of Probability and Statistics (STATS4047)

Past courses:

Statistics for Biomedical Engineering (STATS3002)


Additional Information

Invited Seminar Talks

  • Computational Biology event at the University of Glasgow in May 2023.


  • Jon Nimmo Teaching Prize in the category "UG/PG who teach", at UofG, in 2022.
  • Jon Nimmo Teaching Prize in the category "Early Career Staff", at UofG, in 2021.
  • F.S. Cater Prize in Mathematical Sciences for outstanding academic achievements, at Portland State University, in 2019.