Imperial College London

Matthew Thomas

Faculty of MedicineSchool of Public Health

Research Assistant
 
 
 
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Contact

 

matthew.thomas CV

 
 
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Location

 

Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

I am currently a Research Assistant working in the Department of Infectious Disease Epidemiology. My research interests lie in spatial and spatio–temporal statistics and the implementation of Bayesian hierarchical models with applications in the environment and public health.

Prior to joining Imperial, I was a PhD student at the University of Bath. My PhD research involved developing Bayesian hierarchical models to integrate data from multiple (and often disparate) sources to estimate global air quality and the associated burden of disease. Alongside my PhD, I was involved in a number of other short term projects centred in environment and health with collaborators such as the World Health Organization and the Department of Pharmacy & Pharmacology at the University of Bath. 


Publications

Journals

Stanaway JD, Afshin A, Gakidou E, et al., 2018, Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017, Lancet, Vol:392, ISSN:0140-6736, Pages:1923-1994

Shaddick G, Ranzi A, Thomas ML, et al., 2018, Towards an assessment of the health impact of industrially contaminated sites: waste landfills in Europe, Epidemiologia & Prevenzione, Vol:42, ISSN:1120-9763, Pages:69-75

Shaddick G, Thomas ML, Amini H, et al., 2018, Data Integration for the Assessment of Population Exposure to Ambient Air Pollution for Global Burden of Disease Assessment, Environmental Science & Technology, Vol:52, ISSN:0013-936X, Pages:9069-9078

Shaddick G, Thomas ML, Green A, et al., 2018, Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution, Journal of the Royal Statistical Society Series C-applied Statistics, Vol:67, ISSN:0035-9254, Pages:231-253

Gakidou E, Afshin A, Abajobir AA, et al., 2017, Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016, Lancet, Vol:390, ISSN:0140-6736, Pages:1345-1422

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