Robin Muegge
email: r.muegge.1@research.gla.ac.uk
https://orcid.org/0000-0002-1047-7895
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.
Publications
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)
Supervisors
Conference
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.
Teaching
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.
Awards
- 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.