![Gavin Shaddick](https://profiles-cardiff.imgix.net/attachments/6504?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Professor Gavin Shaddick
Teams and roles for Gavin Shaddick
Pro Vice-chancellor
Physical Sciences & Engineering
Overview
I am the Pro Vice-Chancellor for the College of Physical Sciences and Engineering, and a member of the University’s Executive Board.
My academic interests include the theory and application of Bayesian hierarchical models and spatio-temporal modelling in a number of fields including environmental modelling, epidemiology and public health. A major focus is modelling global air quality by integrating information from multiple sources, including ground monitoring, remote sensing satellites and chemical transport models.
I am a member of the UK government’s Committee on the Medical Effects of Air Pollutants (COMEAP) and the sub-group on Quantification of Air Pollution Risk (QUARK). I lead the World Health Organization’s Data Integration Taskforce for Global Air Quality and led the development of the Data Integration Model for Air Quality (DIMAQ) that is used to calculate air pollution related indicators for the United Nations Sustainable Development Goals.
From 2018-2024, I was a Turing Fellow at The Alan Turing Institute, the UK’s national institute of Data Science and AI where I developed and led the Environment and Sustainability Theme.
Publication
2025
- Zhang, B. et al., 2025. Particulate air pollution from different emission sources, cognitive performance, and cognitive declines in India. Environment International 204 109826. (10.1016/j.envint.2025.109826)
- Shaddick, G. et al. 2025. Environmental intelligence: The crucial role of AI in supporting environmental sustainability. In: Killeen, T. L. , Wuebbles, D. K. and Lane, J. E. eds. Pathways to Sustainability: Collaborative Solutions for a Resilient Future. University of Illinois Press
- Shaddick, G. et al. 2025. Data science and AI for sustainable futures: Opportunities and challenges. Sustainability 17 (5) 2019. (10.3390/su17052019)
2024
- Jay, C. et al., 2024. Prioritize environmental sustainability in use of AI and data science methods. Nature Geoscience 17 (2), pp.106-108. (10.1038/s41561-023-01369-y)
2023
- Shaddick, G. , Zidek, J. V. and Schmidt, A. M. 2023. Spatio-temporal methods in environmental epidemiology with R. Chapman and Hall/CRC. (10.1201/9781003352655)
- Lee, D. et al., 2023. Health impact assessment for air pollution in the presence of regional variation in effect sizes: the implications of using different meta-analytic approaches. Environmental Pollution 336 122465. (10.1016/j.envpol.2023.122465)
- Chen, X. et al., 2023. On the stochasticity of reanalysis outputs of 4D-Var. arXiv (10.48550/arXiv.2304.03648)
- Thomas, M. L. et al., 2023. A data integration approach to estimating personal exposures to air pollution. Presented at: IEEE International Conference on Big Data (Big Data) Osaka, Japan 17-20 December 2022. Proceedings 2022 IEEE International Conference on Big Data (Big Data). IEEE. , pp.4551-4559. (10.1109/BigData55660.2022.10020701)
2022
- Liu, X. et al., 2022. Publisher correction: dietary shifts can reduce premature deaths related to particulate matter pollution in China. Nature Food 3 (1) 86. (10.1038/s43016-022-00458-2)
2021
- Liu, X. et al., 2021. Dietary shifts can reduce premature deaths related to particulate matter pollution in China. Nature Food 2 (12), pp.997-1004. (10.1038/s43016-021-00430-6)
- Spooner, F. et al., 2021. A dynamic microsimulation model for epidemics. Social Science & Medicine 291 114461. (10.1016/j.socscimed.2021.114461)
- Morrissey, K. et al., 2021. Area level deprivation and monthly COVID-19 cases: the impact of government policy in England. Social Science and Medicine 289 114413. (10.1016/j.socscimed.2021.114413)
- Charlton, R. A. et al., 2021. Risk of osteoarthritis in an incident cohort of people with psoriatic arthritis: a population-based cohort study. The Journal of Rheumatology 48 (6), pp.841-846. (10.3899/jrheum.200564)
- Dawkins, L. C. et al., 2021. Where Is the clean air? A bayesian decision framework for personalised cyclist route selection using R-INLA. Bayesian Analysis 16 (1), pp.61-91. (10.1214/19-ba1193)
- Henderson, S. B. et al., 2021. Staying ahead of the epidemiologic curve: evaluation of the british columbia asthma prediction system (BCAPS) during the unprecedented 2018 wildfire season. Frontiers in Public Health 9 499309. (10.3389/fpubh.2021.499309)
- Delgado-Saborit, J. M. et al., 2021. A critical review of the epidemiological evidence of effects of air pollution on dementia, cognitive function and cognitive decline in adult population. Science of the Total Environment 757 143734. (10.1016/j.scitotenv.2020.143734)
- Thomas, M. L. et al., 2021. Tumor necrosis factor inhibitor monotherapy versus combination therapy for the treatment of psoriatic arthritis: combined analysis of european biologics databases. The Journal of Rheumatology 48 (1), pp.48-57. (10.3899/jrheum.190815)
2020
- Shaddick, G. et al. 2020. Global air quality: an inter-disciplinary approach to exposure assessment for burden of disease analyses. Atmosphere 12 (1) 48. (10.3390/atmos12010048)
- Stoner, O. , Shaddick, G. and Economou, T. 2020. Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. Journal of the Royal Statistical Society: Series C 69 (4), pp.815-839. (10.1111/rssc.12428)
- Hamann, P. D. et al., 2020. Early response to anti-TNF predicts long-term outcomes including sustained remission: an analysis of the BSRBR-RA. Rheumatology 59 (7), pp.1709-1714. (10.1093/rheumatology/kez518)
- Shaddick, G. et al. 2020. Half the world’s population are exposed to increasing air pollution. npj Climate and Atmospheric Science 3 (1) 23. (10.1038/s41612-020-0124-2)
- Blangiardo, M. et al., 2020. Advances in spatiotemporal models for non-communicable disease surveillance. International Journal of Epidemiology 49 (Supple), pp.I26-I37. (10.1093/ije/dyz181)
- Toledano, M. B. et al., 2020. Electric field and air ion exposures near high voltage overhead power lines and adult cancers: a case control study across England and Wales. International Journal of Epidemiology 49 (Supple), pp.I57-I66. (10.1093/ije/dyz275)
- Green, A. et al., 2020. Modifiable risk factors and the development of psoriatic arthritis in people with psoriasis. British Journal of Dermatology 182 (3), pp.714-720. (10.1111/bjd.18227)
2019
- Hamann, P. D. et al., 2019. Predictors, demographics and frequency of sustained remission and low disease activity in anti-tumour necrosis factor-treated rheumatoid arthritis patients. Rheumatology 58 (12), pp.2162-2169. (10.1093/rheumatology/kez188)
- Watson, J. , Zidek, J. V. and Shaddick, G. 2019. A general theory for preferential sampling in environmental networks. The Annals of Applied Statistics 13 (4), pp.2662-2700. (10.1214/19-aoas1288)
- Shaddick, G. et al. 2019. Towards an assessment of the health impact of industrially contaminated sites: waste landfills in Europe. Presented at: The 2019 Annual Conference of the International Society for Environmental Epidemiology Utrecht 25-28 August 2019. Vol. 3.Vol. 1. International Society for Environmental Epidemiology (ISEE). , pp.324. (10.1097/01.ee9.0000609556.41642.f6)
- Antony, A. S. et al., 2019. Psoriatic nail dystrophy is associated with erosive disease in the distal interphalangeal joints in psoriatic arthritis: a retrospective cohort study. The Journal of Rheumatology 46 (9), pp.1097-1102. (10.3899/jrheum.180796)
- Betteridge, Z. et al., 2019. Frequency, mutual exclusivity and clinical associations of myositis autoantibodies in a combined European cohort of idiopathic inflammatory myopathy patients. Journal of Autoimmunity 101 , pp.48-55. (10.1016/j.jaut.2019.04.001)
- Martin, R. V. et al., 2019. No one knows which city has the highest concentration of fine particulate matter. Atmospheric Environment: X 3 100040. (10.1016/j.aeaoa.2019.100040)
- Thomas, M. et al., 2019. Data integration for high-resolution, continental-scale estimation of air pollution concentrations. [Online].arXiv: Cornell University. (10.48550/arxiv.1907.00093)Available at: https://doi.org/10.48550/arXiv.1907.00093.
- Hamann, P. D. et al., 2019. Gender stratified adjustment of the DAS28-CRP improves inter-score agreement with the DAS28-ESR in rheumatoid arthritis. Rheumatology 58 (5), pp.831-835. (10.1093/rheumatology/key374)
- Cohen, A. J. et al., 2019. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the global burden of diseases study 2015. The Lancet 389 (10082), pp.1907-1918. (10.1016/S0140-6736(17)30505-6)
- Allard, A. et al., 2019. Trajectory of radiographic change over a decade: the effect of transition from conventional synthetic disease-modifying antirheumatic drugs to anti-tumour necrosis factor in patients with psoriatic arthritis. Rheumatology 58 (2), pp.269-273. (10.1093/rheumatology/key297)
- Charlton, R. et al., 2019. Risk of type 2 diabetes and cardiovascular disease in an incident cohort of people with psoriatic arthritis: a population-based cohort study. Rheumatology 58 (1), pp.144-148. (10.1093/rheumatology/key286)
2018
- GBD 2017 Risk Factor, C. and Shaddick, G. 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. The Lancet 392 (10159), pp.1923-1994. (10.1016/S0140-6736(18)32225-6)
- Coates, L. C. et al., 2018. Value of the routine assessment of patient index data 3 in patients with psoriatic arthritis: results from a tight-control clinical trial and an observational cohort. Arthritis Care & Research 70 (8), pp.1198-1205. (10.1002/acr.23460)
- Shaddick, G. et al. 2018. Data Integration for the assessment of population exposure to ambient air pollution for global burden of disease assessment. Environmental Science and Technology 52 (16), pp.9069–9078. (10.1021/acs.est.8b02864)
- Shaddick, G. 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 67 (1), pp.231-253. (10.1111/rssc.12227)
2017
- Liu, Y. , Shaddick, G. and Zidek, J. V. 2017. Incorporating high-dimensional exposure modelling into studies of air pollution and health. Statistics in Biosciences 9 (2), pp.559-581. (10.1007/s12561-016-9150-3)
- Tillett, W. et al., 2017. Interval between onset of psoriasis and psoriatic arthritis comparing the UK Clinical Practice Research Datalink with a hospital-based cohort. Rheumatology 56 (12), pp.2109-2113. (10.1093/rheumatology/kex323)
- Tansley, S. L. et al., 2017. Autoantibodies in juvenile-onset myositis: their diagnostic value and associated clinical phenotype in a large UK cohort. Journal of Autoimmunity 84 , pp.55-64. (10.1016/j.jaut.2017.06.007)
- Williams, S. et al., 2017. How much rugby is too much? A seven-season prospective cohort study of match exposure and injury risk in professional rugby union players. Sports Medicine 47 (11), pp.2395–2402. (10.1007/s40279-017-0721-3)
- Charlton, R. et al., 2017. Risk of uveitis and inflammatory bowel disease in people with psoriatic arthritis: a population-based cohort study. Annals of the Rheumatic Diseases 77 (2), pp.277-280. (10.1136/annrheumdis-2017-212328)
- Shaddick, G. , Green, A. and Watson, M. 2017. Impacts of a reduction in 11 kV voltage settings in South Wales. CIRED - Open Access Proceedings Journal 2017 (1), pp.2346-2349. (10.1049/oap-cired.2017.0367)
- GBD 2016 Risk Factors, C. and Shaddick, G. 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. The Lancet 390 (10100), pp.1345-1422. (10.1016/S0140-6736(17)32366-8)
- Wood, S. N. et al., 2017. Generalized additive models for gigadata: modeling the U.K. black smoke network daily data. Journal of the American Statistical Association 112 (519), pp.1199-1210. (10.1080/01621459.2016.1195744)
- Hamann, P. et al., 2017. Factors associated with sustained remission in rheumatoid arthritis in patients treated with anti–tumor necrosis factor. Arthritis Care and Research 69 (6), pp.783-793. (10.1002/acr.23016)
- Tillett, W. et al., 2017. Effect of anti-TNF and conventional synthetic disease-modifying anti-rheumatic drug treatment on work disability and clinical outcome in a multicentre observational cohort study of psoriatic arthritis. Rheumatology 56 (4), pp.603-612. (10.1093/rheumatology/kew433)
- Tillett, W. et al., 2017. Smoking and delay to diagnosis are associated with poorer functional outcome in psoriatic arthritis. Annals of the Rheumatic Diseases 72 (8), pp.1358-1361. (10.1136/annrheumdis-2012-202608)
2016
- Jadon, D. R. et al., 2016. Axial disease in psoriatic arthritis study: defining the clinical and radiographic phenotype of psoriatic spondyloarthritis. Annals of the Rheumatic Diseases 76 (4), pp.701-707. (10.1136/annrheumdis-2016-209853)
- Betteridge, Z. E. et al., 2016. Brief report: anti–eukaryotic initiation factor 2B autoantibodies are associated with interstitial lung disease in patients with systemic sclerosis. Arthritis & Rheumatology 68 (11), pp.2778-2783. (10.1002/art.39755)
- GBD 2015 Mortality and Causes of Death, C. and Shaddick, G. 2016. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet 388 (10053), pp.1459-1544. (10.1016/S0140-6736(16)31012-1)
- GBD 2015 Risk Factors, C. and Shaddick, G. 2016. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet 388 (10053), pp.1659-1724. (10.1016/S0140-6736(16)31679-8)
- Tansley, S. et al., 2016. Developing standardised treatment for adults with myositis and different phenotypes: an international survey of current prescribing preferences. Clinical and Experimental Rheumatology 34 (5), pp.880-884.
- Morrison, K. T. et al., 2016. A latent process model for forecasting multiple time series in environmental public health surveillance. Statistics in Medicine 35 (18), pp.3085-3100. (10.1002/sim.6904)
- Lee, D. , Sahu, S. and Shaddick, G. 2016. Editorial for SSTE special issue on environment and health. Spatial and Spatio-temporal Epidemiology 18 (10.1016/S1877-5845(16)30062-4)
- Shaddick, G. , Zidek, J. V. and Liu, Y. 2016. Mitigating the effects of preferentially selected monitoring sites for environmental policy and health risk analysis. Spatial and Spatio-temporal Epidemiology 18 , pp.44-52. (10.1016/j.sste.2016.03.005)
- Gabe-Thomas, E. et al., 2016. Householders' mental models of domestic energy consumption: using a sort-and-cluster method to identify shared concepts of appliance similarity. PLoS ONE 11 (7) e0158949. (10.1371/journal.pone.0158949)
- Tillett, W. et al., 2016. Novel composite radiographic score for longitudinal observational studies of psoriatic arthritis: a proof-of-concept study. The Journal of Rheumatology 43 (2), pp.367-370. (10.3899/jrheum.150114)
- Brauer, M. et al., 2016. Ambient air pollution exposure estimation for the Global Burden of Disease 2013. Environmental Science and Technology 50 (1), pp.79–88. (10.1021/acs.est.5b03709)
2015
- Forouzanfar, M. H. et al., 2015. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the global burden of disease study 2013. The Lancet 386 (10010), pp.2287-2323. (10.1016/S0140-6736(15)00128-2)
- Li, R. et al., 2015. Development of low voltage network templates - part I: substation clustering and classification. IEEE Transactions on Power Systems 30 (6), pp.3036-3044. (10.1109/tpwrs.2014.2371474)
- Li, R. et al., 2015. Development of low voltage network templates - part II: peak load estimation by clusterwise regression. IEEE Transactions on Power Systems 30 (6), pp.3045-3052. (10.1109/tpwrs.2014.2371477)
- Jadon, D. R. et al., 2015. Psoriatic arthritis mutilans: characteristics and natural radiographic history. The Journal of Rheumatology 42 (7), pp.1169-1176. (10.3899/jrheum.150083)
- Shaddick, G. and Zidek, J. V. 2015. Spatio-temporal methods in environmental epidemiology. New York: Chapman and Hall/CRC. (10.1201/b18600)
- Jadon, D. R. et al., 2015. Clinical outcomes and progression to orthopedic surgery in juvenile- versus adult-onset ankylosing spondylitis. Arthritis Care & Research 67 (5), pp.651-657. (10.1002/acr.22500)
- Tillett, W. et al., 2015. Factors influencing work disability in psoriatic arthritis: first results from a large UK multicentre study. Rheumatology 54 (1), pp.157–162. (10.1093/rheumatology/keu264)
2014
- Tansley, S. L. et al., 2014. Calcinosis in juvenile dermatomyositis is influenced by both anti-NXP2 autoantibody status and age at disease onset. Rheumatology 53 (12), pp.2204-2208. (10.1093/rheumatology/keu259)
- Zidek, J. V. , Shaddick, G. and Taylor, C. G. 2014. Reducing estimation bias in adaptively changing monitoring networks with preferential site selection. Annals of Applied Statistics 8 (3), pp.1640-1670. (10.1214/14-aoas745)
- Shaddick, G. and Zidek, J. V. 2014. A case study in preferential sampling: long term monitoring of air pollution in the UK. Spatial Statistics 9 (C), pp.51-65. (10.1016/j.spasta.2014.03.008)
- Tillett, W. et al., 2014. Feasibility, reliability, and sensitivity to change of four radiographic scoring methods in patients with psoriatic arthritis. Arthritis Care & Research 66 (2), pp.311-317. (10.1002/acr.22104)
2013
- Shaddick, G. , Yan, H. and Vienneau, D. 2013. A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe. Environmental and Ecological Statistics 20 (4), pp.553–570. (10.1007/s10651-012-0234-z)
- Roberts, S. P. et al., 2013. Epidemiology of time-loss injuries in English community-level rugby union. BMJ Open 3 (11) e003998. (10.1136/bmjopen-2013-003998)
- Strickland, G. et al., 2013. Mortality in systemic sclerosis - A single centre study from the UK. Clinical Rheumatology 32 (10), pp.1533-1539. (10.1007/s10067-013-2289-0)
- Shaddick, G. , Lee, D. and Wakefield, J. 2013. Ecological bias in studies of the short-term effects of air pollution on health. International Journal of Applied Earth Observation and Geoinformation 22 (1), pp.65-74. (10.1016/j.jag.2012.03.011)
- Zhang, Y. et al., 2013. Quantification of low voltage network reinforcement costs: A statistical approach. IEEE Transactions on Power Systems 28 (2), pp.810-818. (10.1109/TPWRS.2012.2210572)
- Elliott, P. et al., 2013. Adult cancers near high-voltage overhead power lines. Epidemiology 24 (2), pp.184-190. (10.1097/ede.0b013e31827e95b9)
- Shaddick, G. et al. 2013. Large-scale Bayesian spatial modelling of air pollution for policy support. Journal of Applied Statistics 40 (4), pp.777-794. (10.1080/02664763.2012.754851)
2012
- Fantke, P. et al., 2012. Parameterization models for pesticide exposure via crop consumption. Environmental Science and Technology 46 (23), pp.12864-12872. (10.1021/es301509u)
- Tillett, W. et al., 2012. Joint count reliability in psoriatic arthritis observational trials-an unreported problem. Rheumatology 51 (7), pp.1333-1334. (10.1093/rheumatology/kes095)
- Bornn, L. , Shaddick, G. and Zidek, J. 2012. Modeling nonstationary processes through dimension expansion. Journal of the American Statistical Association 107 (497), pp.281-289. (10.1080/01621459.2011.646919)
2010
- Lee, D. and Shaddick, G. 2010. Spatial modeling of air pollution in studies of its short-term health effects. Biometrics 66 (4), pp.1238-1246. (10.1111/j.1541-0420.2009.01376.x)
- Salway, R. et al., 2010. Bayesian latent variable modelling in studies of air pollution and health. Statistics in Medicine 29 (26), pp.2732-2742. (10.1002/sim.4039)
2008
- Shaddick, G. et al. 2008. Estimating exposure response functions using ambient pollution concentrations. The Annals of Applied Statistics 2 (4), pp.1249-1270. (10.1214/08-AOAS177)
- Lee, D. and Shaddick, G. 2008. Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models. Environmetrics 19 (8), pp.785-804. (10.1002/env.894)
2007
- Shaddick, G. , Choo, L. and Walker, S. 2007. Modelling correlated count data with covariates. Journal of Statistical Computation and Simulation 77 (11), pp.945-954. (10.1080/10629360600851974)
- Zidek, J. et al., 2007. A framework for predicting personal exposures to environmental hazards. Environmental and Ecological Statistics 14 (4), pp.411-431. (10.1007/s10651-007-0028-x)
- Elliott, P. et al., 2007. Long-term associations of outdoor air pollution with mortality in Great Britain. Thorax 62 (12), pp.1088-1094. (10.1136/thx.2006.076851)
- Diggle, P. et al., 2007. Regression modelling of disease risk in relation to Point sources. Journal of the Royal Statistical Society: Statistics in Society Series A 160 (3), pp.491-505. (10.1111/j.1467-985X.1997.00076.x)
- Miranda, M. S. et al., 2007. Bayesian inferencing for wind resource characterisation. Presented at: International Conference on Probabilistic Methods Applied to Power Systems Stockholm, Sweden 11-15 June 2006. Proceedings 2006 International Conference on Probabilistic Methods Applied to Power Systems. IEEE. , pp.1-6. (10.1109/PMAPS.2006.360207)
- Lee, D. and Shaddick, G. 2007. Time-varying coefficient models for the analysis of air pollution and health outcome data. Biometrics 63 (4), pp.1253-1261. (10.1111/j.1541-0420.2007.00776.x)
2006
- Wakefield, J. and Shaddick, G. 2006. Health-exposure modeling and the ecological fallacy. Biostatistics 7 (3), pp.438-455. (10.1093/biostatistics/kxj017)
- Miranda, M. , Shaddick, G. and Dunn, R. 2006. Spatial characterisation of wind resource using a Bayesian approach. Presented at: EWEC 2006 Athens, Greece 27 February - 02 March 2006. Proceedings European Wind Energy Conference and Exhibition 2006. Vol. 3., pp.2221-2227.
2005
- Zidek, J. V. et al., 2005. Using a probabilistic model (pCNEM) to estimate personal exposure to air pollution. Environmetrics 16 (5), pp.481-493. (10.1002/env.716)
- Toledano, M. , Shaddick, G. and Elliott, P. 2005. Seasonal variations in all-cause and cardiovascular mortality and the role of temperature. In: Marmot, M. and Elliott, P. eds. Coronary Heart Disease Epidemiology: From Aetiology to Public Health (2nd Edition). Oxford Medical Publications Oxford University Press. , pp.495-527. (10.1093/acprof:oso/9780198525738.003.0031)
2002
- Shaddick, G. and Wakefield, J. 2002. Modelling daily multivariate pollutant data at multiple sites. Journal of the Royal Statistical Society: Series C 51 (3), pp.351-372. (10.1111/1467-9876.00273)
2000
- Elliott, P. et al., 2000. Cancer incidence near municipal solid waste incinerators in Great Britain. Part 2: Histopathological and case-note review of primary liver cancer cases. British Journal of Cancer 82 (5), pp.1103-1106. (10.1054/bjoc.1999.1046)
1999
- Wilkinson, P. et al., 1999. Case-control study of hospital admission with asthma in children aged 5-14 years: Relation with road traffic in north west London. Thorax 54 (12), pp.1070-1074. (10.1136/thx.54.12.1070)
1997
- Eaton, N. et al., 1997. Small-area study of the incidence of neoplasms of the brain and central nervous system among adults in the West Midlands Region, 1974-86. British Journal of Cancer 75 (7), pp.1080-1083. (10.1038/bjc.1997.184)
- Wilkinson, P. et al., 1997. Cancer incidence and mortality around the Pan Britannica Industries pesticide factory, Waltham Abbey. Occupational & Environmental Medicine 54 (2), pp.101-107. (10.1136/oem.54.2.101)
- Dolk, H. et al., 1997. Cancer incidence near radio and television transmitters in Great Britain. II. All high power transmitters. American Journal of Epidemiology 145 (1), pp.10-17. (10.1093/oxfordjournals.aje.a009026)
- Dolk, H. et al., 1997. Cancer incidence near radio and television transmitters in Great Britain. I. Sutton Coldfield transmitter. American Journal of Epidemiology 145 (1), pp.1-9. (10.1093/oxfordjournals.aje.a009025)
1996
- Shaddick, G. and Elliott, P. 1996. Use of stone's method in studies of disease risk around point sources of environmental pollution. Statistics in Medicine 15 (18), pp.1927-1934. (10.1002/(sici)1097-0258(19960930)15:18<1927::aid-sim405>3.0.co;2-g)
- Livingstone, A. et al., 1996. Do people living near inner city main roads have more asthma needing treatment? Case-control study. British Medical Journal 312 (7032), pp.676-677. (10.1136/bmj.312.7032.676)
- Elliott, P. et al., 1996. Cancer incidence near municipal solid waste incinerators in Great Britain. British Journal of Cancer 73 (5), pp.702-710. (10.1038/bjc.1996.122)
1995
- Dolk, H. et al., 1995. A standardisation approach to the control of socioeconomic confounding in small area studies of environment and health. Journal of Epidemiology and Community Health 49 (SUPPL.)(10.1136/jech.49.Suppl_2.S9)
- Elliott, P. , Martuzzi, M. and Shaddick, G. 1995. Spatial statistical methods in environmental epidemiology: A critique. Statistical Methods in Medical Research 4 (2), pp.137-159. (10.1177/096228029500400204)
- Sans, S. et al., 1995. Cancer incidence and mortality near the Baglan Bay petrochemical works, South Wales. Occupational & Environmental Medicine 52 (4), pp.217-224. (10.1136/oem.52.4.217)
Articles
- Zhang, B. et al., 2025. Particulate air pollution from different emission sources, cognitive performance, and cognitive declines in India. Environment International 204 109826. (10.1016/j.envint.2025.109826)
- Shaddick, G. et al. 2025. Data science and AI for sustainable futures: Opportunities and challenges. Sustainability 17 (5) 2019. (10.3390/su17052019)
- Jay, C. et al., 2024. Prioritize environmental sustainability in use of AI and data science methods. Nature Geoscience 17 (2), pp.106-108. (10.1038/s41561-023-01369-y)
- Lee, D. et al., 2023. Health impact assessment for air pollution in the presence of regional variation in effect sizes: the implications of using different meta-analytic approaches. Environmental Pollution 336 122465. (10.1016/j.envpol.2023.122465)
- Chen, X. et al., 2023. On the stochasticity of reanalysis outputs of 4D-Var. arXiv (10.48550/arXiv.2304.03648)
- Liu, X. et al., 2022. Publisher correction: dietary shifts can reduce premature deaths related to particulate matter pollution in China. Nature Food 3 (1) 86. (10.1038/s43016-022-00458-2)
- Liu, X. et al., 2021. Dietary shifts can reduce premature deaths related to particulate matter pollution in China. Nature Food 2 (12), pp.997-1004. (10.1038/s43016-021-00430-6)
- Spooner, F. et al., 2021. A dynamic microsimulation model for epidemics. Social Science & Medicine 291 114461. (10.1016/j.socscimed.2021.114461)
- Morrissey, K. et al., 2021. Area level deprivation and monthly COVID-19 cases: the impact of government policy in England. Social Science and Medicine 289 114413. (10.1016/j.socscimed.2021.114413)
- Charlton, R. A. et al., 2021. Risk of osteoarthritis in an incident cohort of people with psoriatic arthritis: a population-based cohort study. The Journal of Rheumatology 48 (6), pp.841-846. (10.3899/jrheum.200564)
- Dawkins, L. C. et al., 2021. Where Is the clean air? A bayesian decision framework for personalised cyclist route selection using R-INLA. Bayesian Analysis 16 (1), pp.61-91. (10.1214/19-ba1193)
- Henderson, S. B. et al., 2021. Staying ahead of the epidemiologic curve: evaluation of the british columbia asthma prediction system (BCAPS) during the unprecedented 2018 wildfire season. Frontiers in Public Health 9 499309. (10.3389/fpubh.2021.499309)
- Delgado-Saborit, J. M. et al., 2021. A critical review of the epidemiological evidence of effects of air pollution on dementia, cognitive function and cognitive decline in adult population. Science of the Total Environment 757 143734. (10.1016/j.scitotenv.2020.143734)
- Thomas, M. L. et al., 2021. Tumor necrosis factor inhibitor monotherapy versus combination therapy for the treatment of psoriatic arthritis: combined analysis of european biologics databases. The Journal of Rheumatology 48 (1), pp.48-57. (10.3899/jrheum.190815)
- Shaddick, G. et al. 2020. Global air quality: an inter-disciplinary approach to exposure assessment for burden of disease analyses. Atmosphere 12 (1) 48. (10.3390/atmos12010048)
- Stoner, O. , Shaddick, G. and Economou, T. 2020. Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. Journal of the Royal Statistical Society: Series C 69 (4), pp.815-839. (10.1111/rssc.12428)
- Hamann, P. D. et al., 2020. Early response to anti-TNF predicts long-term outcomes including sustained remission: an analysis of the BSRBR-RA. Rheumatology 59 (7), pp.1709-1714. (10.1093/rheumatology/kez518)
- Shaddick, G. et al. 2020. Half the world’s population are exposed to increasing air pollution. npj Climate and Atmospheric Science 3 (1) 23. (10.1038/s41612-020-0124-2)
- Blangiardo, M. et al., 2020. Advances in spatiotemporal models for non-communicable disease surveillance. International Journal of Epidemiology 49 (Supple), pp.I26-I37. (10.1093/ije/dyz181)
- Toledano, M. B. et al., 2020. Electric field and air ion exposures near high voltage overhead power lines and adult cancers: a case control study across England and Wales. International Journal of Epidemiology 49 (Supple), pp.I57-I66. (10.1093/ije/dyz275)
- Green, A. et al., 2020. Modifiable risk factors and the development of psoriatic arthritis in people with psoriasis. British Journal of Dermatology 182 (3), pp.714-720. (10.1111/bjd.18227)
- Hamann, P. D. et al., 2019. Predictors, demographics and frequency of sustained remission and low disease activity in anti-tumour necrosis factor-treated rheumatoid arthritis patients. Rheumatology 58 (12), pp.2162-2169. (10.1093/rheumatology/kez188)
- Watson, J. , Zidek, J. V. and Shaddick, G. 2019. A general theory for preferential sampling in environmental networks. The Annals of Applied Statistics 13 (4), pp.2662-2700. (10.1214/19-aoas1288)
- Antony, A. S. et al., 2019. Psoriatic nail dystrophy is associated with erosive disease in the distal interphalangeal joints in psoriatic arthritis: a retrospective cohort study. The Journal of Rheumatology 46 (9), pp.1097-1102. (10.3899/jrheum.180796)
- Betteridge, Z. et al., 2019. Frequency, mutual exclusivity and clinical associations of myositis autoantibodies in a combined European cohort of idiopathic inflammatory myopathy patients. Journal of Autoimmunity 101 , pp.48-55. (10.1016/j.jaut.2019.04.001)
- Martin, R. V. et al., 2019. No one knows which city has the highest concentration of fine particulate matter. Atmospheric Environment: X 3 100040. (10.1016/j.aeaoa.2019.100040)
- Hamann, P. D. et al., 2019. Gender stratified adjustment of the DAS28-CRP improves inter-score agreement with the DAS28-ESR in rheumatoid arthritis. Rheumatology 58 (5), pp.831-835. (10.1093/rheumatology/key374)
- Cohen, A. J. et al., 2019. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the global burden of diseases study 2015. The Lancet 389 (10082), pp.1907-1918. (10.1016/S0140-6736(17)30505-6)
- Allard, A. et al., 2019. Trajectory of radiographic change over a decade: the effect of transition from conventional synthetic disease-modifying antirheumatic drugs to anti-tumour necrosis factor in patients with psoriatic arthritis. Rheumatology 58 (2), pp.269-273. (10.1093/rheumatology/key297)
- Charlton, R. et al., 2019. Risk of type 2 diabetes and cardiovascular disease in an incident cohort of people with psoriatic arthritis: a population-based cohort study. Rheumatology 58 (1), pp.144-148. (10.1093/rheumatology/key286)
- GBD 2017 Risk Factor, C. and Shaddick, G. 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. The Lancet 392 (10159), pp.1923-1994. (10.1016/S0140-6736(18)32225-6)
- Coates, L. C. et al., 2018. Value of the routine assessment of patient index data 3 in patients with psoriatic arthritis: results from a tight-control clinical trial and an observational cohort. Arthritis Care & Research 70 (8), pp.1198-1205. (10.1002/acr.23460)
- Shaddick, G. et al. 2018. Data Integration for the assessment of population exposure to ambient air pollution for global burden of disease assessment. Environmental Science and Technology 52 (16), pp.9069–9078. (10.1021/acs.est.8b02864)
- Shaddick, G. 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 67 (1), pp.231-253. (10.1111/rssc.12227)
- Liu, Y. , Shaddick, G. and Zidek, J. V. 2017. Incorporating high-dimensional exposure modelling into studies of air pollution and health. Statistics in Biosciences 9 (2), pp.559-581. (10.1007/s12561-016-9150-3)
- Tillett, W. et al., 2017. Interval between onset of psoriasis and psoriatic arthritis comparing the UK Clinical Practice Research Datalink with a hospital-based cohort. Rheumatology 56 (12), pp.2109-2113. (10.1093/rheumatology/kex323)
- Tansley, S. L. et al., 2017. Autoantibodies in juvenile-onset myositis: their diagnostic value and associated clinical phenotype in a large UK cohort. Journal of Autoimmunity 84 , pp.55-64. (10.1016/j.jaut.2017.06.007)
- Williams, S. et al., 2017. How much rugby is too much? A seven-season prospective cohort study of match exposure and injury risk in professional rugby union players. Sports Medicine 47 (11), pp.2395–2402. (10.1007/s40279-017-0721-3)
- Charlton, R. et al., 2017. Risk of uveitis and inflammatory bowel disease in people with psoriatic arthritis: a population-based cohort study. Annals of the Rheumatic Diseases 77 (2), pp.277-280. (10.1136/annrheumdis-2017-212328)
- Shaddick, G. , Green, A. and Watson, M. 2017. Impacts of a reduction in 11 kV voltage settings in South Wales. CIRED - Open Access Proceedings Journal 2017 (1), pp.2346-2349. (10.1049/oap-cired.2017.0367)
- GBD 2016 Risk Factors, C. and Shaddick, G. 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. The Lancet 390 (10100), pp.1345-1422. (10.1016/S0140-6736(17)32366-8)
- Wood, S. N. et al., 2017. Generalized additive models for gigadata: modeling the U.K. black smoke network daily data. Journal of the American Statistical Association 112 (519), pp.1199-1210. (10.1080/01621459.2016.1195744)
- Hamann, P. et al., 2017. Factors associated with sustained remission in rheumatoid arthritis in patients treated with anti–tumor necrosis factor. Arthritis Care and Research 69 (6), pp.783-793. (10.1002/acr.23016)
- Tillett, W. et al., 2017. Effect of anti-TNF and conventional synthetic disease-modifying anti-rheumatic drug treatment on work disability and clinical outcome in a multicentre observational cohort study of psoriatic arthritis. Rheumatology 56 (4), pp.603-612. (10.1093/rheumatology/kew433)
- Tillett, W. et al., 2017. Smoking and delay to diagnosis are associated with poorer functional outcome in psoriatic arthritis. Annals of the Rheumatic Diseases 72 (8), pp.1358-1361. (10.1136/annrheumdis-2012-202608)
- Jadon, D. R. et al., 2016. Axial disease in psoriatic arthritis study: defining the clinical and radiographic phenotype of psoriatic spondyloarthritis. Annals of the Rheumatic Diseases 76 (4), pp.701-707. (10.1136/annrheumdis-2016-209853)
- Betteridge, Z. E. et al., 2016. Brief report: anti–eukaryotic initiation factor 2B autoantibodies are associated with interstitial lung disease in patients with systemic sclerosis. Arthritis & Rheumatology 68 (11), pp.2778-2783. (10.1002/art.39755)
- GBD 2015 Mortality and Causes of Death, C. and Shaddick, G. 2016. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet 388 (10053), pp.1459-1544. (10.1016/S0140-6736(16)31012-1)
- GBD 2015 Risk Factors, C. and Shaddick, G. 2016. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet 388 (10053), pp.1659-1724. (10.1016/S0140-6736(16)31679-8)
- Tansley, S. et al., 2016. Developing standardised treatment for adults with myositis and different phenotypes: an international survey of current prescribing preferences. Clinical and Experimental Rheumatology 34 (5), pp.880-884.
- Morrison, K. T. et al., 2016. A latent process model for forecasting multiple time series in environmental public health surveillance. Statistics in Medicine 35 (18), pp.3085-3100. (10.1002/sim.6904)
- Lee, D. , Sahu, S. and Shaddick, G. 2016. Editorial for SSTE special issue on environment and health. Spatial and Spatio-temporal Epidemiology 18 (10.1016/S1877-5845(16)30062-4)
- Shaddick, G. , Zidek, J. V. and Liu, Y. 2016. Mitigating the effects of preferentially selected monitoring sites for environmental policy and health risk analysis. Spatial and Spatio-temporal Epidemiology 18 , pp.44-52. (10.1016/j.sste.2016.03.005)
- Gabe-Thomas, E. et al., 2016. Householders' mental models of domestic energy consumption: using a sort-and-cluster method to identify shared concepts of appliance similarity. PLoS ONE 11 (7) e0158949. (10.1371/journal.pone.0158949)
- Tillett, W. et al., 2016. Novel composite radiographic score for longitudinal observational studies of psoriatic arthritis: a proof-of-concept study. The Journal of Rheumatology 43 (2), pp.367-370. (10.3899/jrheum.150114)
- Brauer, M. et al., 2016. Ambient air pollution exposure estimation for the Global Burden of Disease 2013. Environmental Science and Technology 50 (1), pp.79–88. (10.1021/acs.est.5b03709)
- Forouzanfar, M. H. et al., 2015. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the global burden of disease study 2013. The Lancet 386 (10010), pp.2287-2323. (10.1016/S0140-6736(15)00128-2)
- Li, R. et al., 2015. Development of low voltage network templates - part I: substation clustering and classification. IEEE Transactions on Power Systems 30 (6), pp.3036-3044. (10.1109/tpwrs.2014.2371474)
- Li, R. et al., 2015. Development of low voltage network templates - part II: peak load estimation by clusterwise regression. IEEE Transactions on Power Systems 30 (6), pp.3045-3052. (10.1109/tpwrs.2014.2371477)
- Jadon, D. R. et al., 2015. Psoriatic arthritis mutilans: characteristics and natural radiographic history. The Journal of Rheumatology 42 (7), pp.1169-1176. (10.3899/jrheum.150083)
- Jadon, D. R. et al., 2015. Clinical outcomes and progression to orthopedic surgery in juvenile- versus adult-onset ankylosing spondylitis. Arthritis Care & Research 67 (5), pp.651-657. (10.1002/acr.22500)
- Tillett, W. et al., 2015. Factors influencing work disability in psoriatic arthritis: first results from a large UK multicentre study. Rheumatology 54 (1), pp.157–162. (10.1093/rheumatology/keu264)
- Tansley, S. L. et al., 2014. Calcinosis in juvenile dermatomyositis is influenced by both anti-NXP2 autoantibody status and age at disease onset. Rheumatology 53 (12), pp.2204-2208. (10.1093/rheumatology/keu259)
- Zidek, J. V. , Shaddick, G. and Taylor, C. G. 2014. Reducing estimation bias in adaptively changing monitoring networks with preferential site selection. Annals of Applied Statistics 8 (3), pp.1640-1670. (10.1214/14-aoas745)
- Shaddick, G. and Zidek, J. V. 2014. A case study in preferential sampling: long term monitoring of air pollution in the UK. Spatial Statistics 9 (C), pp.51-65. (10.1016/j.spasta.2014.03.008)
- Tillett, W. et al., 2014. Feasibility, reliability, and sensitivity to change of four radiographic scoring methods in patients with psoriatic arthritis. Arthritis Care & Research 66 (2), pp.311-317. (10.1002/acr.22104)
- Shaddick, G. , Yan, H. and Vienneau, D. 2013. A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe. Environmental and Ecological Statistics 20 (4), pp.553–570. (10.1007/s10651-012-0234-z)
- Roberts, S. P. et al., 2013. Epidemiology of time-loss injuries in English community-level rugby union. BMJ Open 3 (11) e003998. (10.1136/bmjopen-2013-003998)
- Strickland, G. et al., 2013. Mortality in systemic sclerosis - A single centre study from the UK. Clinical Rheumatology 32 (10), pp.1533-1539. (10.1007/s10067-013-2289-0)
- Shaddick, G. , Lee, D. and Wakefield, J. 2013. Ecological bias in studies of the short-term effects of air pollution on health. International Journal of Applied Earth Observation and Geoinformation 22 (1), pp.65-74. (10.1016/j.jag.2012.03.011)
- Zhang, Y. et al., 2013. Quantification of low voltage network reinforcement costs: A statistical approach. IEEE Transactions on Power Systems 28 (2), pp.810-818. (10.1109/TPWRS.2012.2210572)
- Elliott, P. et al., 2013. Adult cancers near high-voltage overhead power lines. Epidemiology 24 (2), pp.184-190. (10.1097/ede.0b013e31827e95b9)
- Shaddick, G. et al. 2013. Large-scale Bayesian spatial modelling of air pollution for policy support. Journal of Applied Statistics 40 (4), pp.777-794. (10.1080/02664763.2012.754851)
- Fantke, P. et al., 2012. Parameterization models for pesticide exposure via crop consumption. Environmental Science and Technology 46 (23), pp.12864-12872. (10.1021/es301509u)
- Tillett, W. et al., 2012. Joint count reliability in psoriatic arthritis observational trials-an unreported problem. Rheumatology 51 (7), pp.1333-1334. (10.1093/rheumatology/kes095)
- Bornn, L. , Shaddick, G. and Zidek, J. 2012. Modeling nonstationary processes through dimension expansion. Journal of the American Statistical Association 107 (497), pp.281-289. (10.1080/01621459.2011.646919)
- Lee, D. and Shaddick, G. 2010. Spatial modeling of air pollution in studies of its short-term health effects. Biometrics 66 (4), pp.1238-1246. (10.1111/j.1541-0420.2009.01376.x)
- Salway, R. et al., 2010. Bayesian latent variable modelling in studies of air pollution and health. Statistics in Medicine 29 (26), pp.2732-2742. (10.1002/sim.4039)
- Shaddick, G. et al. 2008. Estimating exposure response functions using ambient pollution concentrations. The Annals of Applied Statistics 2 (4), pp.1249-1270. (10.1214/08-AOAS177)
- Lee, D. and Shaddick, G. 2008. Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models. Environmetrics 19 (8), pp.785-804. (10.1002/env.894)
- Shaddick, G. , Choo, L. and Walker, S. 2007. Modelling correlated count data with covariates. Journal of Statistical Computation and Simulation 77 (11), pp.945-954. (10.1080/10629360600851974)
- Zidek, J. et al., 2007. A framework for predicting personal exposures to environmental hazards. Environmental and Ecological Statistics 14 (4), pp.411-431. (10.1007/s10651-007-0028-x)
- Elliott, P. et al., 2007. Long-term associations of outdoor air pollution with mortality in Great Britain. Thorax 62 (12), pp.1088-1094. (10.1136/thx.2006.076851)
- Diggle, P. et al., 2007. Regression modelling of disease risk in relation to Point sources. Journal of the Royal Statistical Society: Statistics in Society Series A 160 (3), pp.491-505. (10.1111/j.1467-985X.1997.00076.x)
- Lee, D. and Shaddick, G. 2007. Time-varying coefficient models for the analysis of air pollution and health outcome data. Biometrics 63 (4), pp.1253-1261. (10.1111/j.1541-0420.2007.00776.x)
- Wakefield, J. and Shaddick, G. 2006. Health-exposure modeling and the ecological fallacy. Biostatistics 7 (3), pp.438-455. (10.1093/biostatistics/kxj017)
- Zidek, J. V. et al., 2005. Using a probabilistic model (pCNEM) to estimate personal exposure to air pollution. Environmetrics 16 (5), pp.481-493. (10.1002/env.716)
- Shaddick, G. and Wakefield, J. 2002. Modelling daily multivariate pollutant data at multiple sites. Journal of the Royal Statistical Society: Series C 51 (3), pp.351-372. (10.1111/1467-9876.00273)
- Elliott, P. et al., 2000. Cancer incidence near municipal solid waste incinerators in Great Britain. Part 2: Histopathological and case-note review of primary liver cancer cases. British Journal of Cancer 82 (5), pp.1103-1106. (10.1054/bjoc.1999.1046)
- Wilkinson, P. et al., 1999. Case-control study of hospital admission with asthma in children aged 5-14 years: Relation with road traffic in north west London. Thorax 54 (12), pp.1070-1074. (10.1136/thx.54.12.1070)
- Eaton, N. et al., 1997. Small-area study of the incidence of neoplasms of the brain and central nervous system among adults in the West Midlands Region, 1974-86. British Journal of Cancer 75 (7), pp.1080-1083. (10.1038/bjc.1997.184)
- Wilkinson, P. et al., 1997. Cancer incidence and mortality around the Pan Britannica Industries pesticide factory, Waltham Abbey. Occupational & Environmental Medicine 54 (2), pp.101-107. (10.1136/oem.54.2.101)
- Dolk, H. et al., 1997. Cancer incidence near radio and television transmitters in Great Britain. II. All high power transmitters. American Journal of Epidemiology 145 (1), pp.10-17. (10.1093/oxfordjournals.aje.a009026)
- Dolk, H. et al., 1997. Cancer incidence near radio and television transmitters in Great Britain. I. Sutton Coldfield transmitter. American Journal of Epidemiology 145 (1), pp.1-9. (10.1093/oxfordjournals.aje.a009025)
- Shaddick, G. and Elliott, P. 1996. Use of stone's method in studies of disease risk around point sources of environmental pollution. Statistics in Medicine 15 (18), pp.1927-1934. (10.1002/(sici)1097-0258(19960930)15:18<1927::aid-sim405>3.0.co;2-g)
- Livingstone, A. et al., 1996. Do people living near inner city main roads have more asthma needing treatment? Case-control study. British Medical Journal 312 (7032), pp.676-677. (10.1136/bmj.312.7032.676)
- Elliott, P. et al., 1996. Cancer incidence near municipal solid waste incinerators in Great Britain. British Journal of Cancer 73 (5), pp.702-710. (10.1038/bjc.1996.122)
- Dolk, H. et al., 1995. A standardisation approach to the control of socioeconomic confounding in small area studies of environment and health. Journal of Epidemiology and Community Health 49 (SUPPL.)(10.1136/jech.49.Suppl_2.S9)
- Elliott, P. , Martuzzi, M. and Shaddick, G. 1995. Spatial statistical methods in environmental epidemiology: A critique. Statistical Methods in Medical Research 4 (2), pp.137-159. (10.1177/096228029500400204)
- Sans, S. et al., 1995. Cancer incidence and mortality near the Baglan Bay petrochemical works, South Wales. Occupational & Environmental Medicine 52 (4), pp.217-224. (10.1136/oem.52.4.217)
Book sections
- Shaddick, G. et al. 2025. Environmental intelligence: The crucial role of AI in supporting environmental sustainability. In: Killeen, T. L. , Wuebbles, D. K. and Lane, J. E. eds. Pathways to Sustainability: Collaborative Solutions for a Resilient Future. University of Illinois Press
- Toledano, M. , Shaddick, G. and Elliott, P. 2005. Seasonal variations in all-cause and cardiovascular mortality and the role of temperature. In: Marmot, M. and Elliott, P. eds. Coronary Heart Disease Epidemiology: From Aetiology to Public Health (2nd Edition). Oxford Medical Publications Oxford University Press. , pp.495-527. (10.1093/acprof:oso/9780198525738.003.0031)
Books
- Shaddick, G. , Zidek, J. V. and Schmidt, A. M. 2023. Spatio-temporal methods in environmental epidemiology with R. Chapman and Hall/CRC. (10.1201/9781003352655)
- Shaddick, G. and Zidek, J. V. 2015. Spatio-temporal methods in environmental epidemiology. New York: Chapman and Hall/CRC. (10.1201/b18600)
Conferences
- Thomas, M. L. et al., 2023. A data integration approach to estimating personal exposures to air pollution. Presented at: IEEE International Conference on Big Data (Big Data) Osaka, Japan 17-20 December 2022. Proceedings 2022 IEEE International Conference on Big Data (Big Data). IEEE. , pp.4551-4559. (10.1109/BigData55660.2022.10020701)
- Shaddick, G. et al. 2019. Towards an assessment of the health impact of industrially contaminated sites: waste landfills in Europe. Presented at: The 2019 Annual Conference of the International Society for Environmental Epidemiology Utrecht 25-28 August 2019. Vol. 3.Vol. 1. International Society for Environmental Epidemiology (ISEE). , pp.324. (10.1097/01.ee9.0000609556.41642.f6)
- Miranda, M. S. et al., 2007. Bayesian inferencing for wind resource characterisation. Presented at: International Conference on Probabilistic Methods Applied to Power Systems Stockholm, Sweden 11-15 June 2006. Proceedings 2006 International Conference on Probabilistic Methods Applied to Power Systems. IEEE. , pp.1-6. (10.1109/PMAPS.2006.360207)
- Miranda, M. , Shaddick, G. and Dunn, R. 2006. Spatial characterisation of wind resource using a Bayesian approach. Presented at: EWEC 2006 Athens, Greece 27 February - 02 March 2006. Proceedings European Wind Energy Conference and Exhibition 2006. Vol. 3., pp.2221-2227.
Websites
- Thomas, M. et al., 2019. Data integration for high-resolution, continental-scale estimation of air pollution concentrations. [Online].arXiv: Cornell University. (10.48550/arxiv.1907.00093)Available at: https://doi.org/10.48550/arXiv.1907.00093.
Research
My research lies at the interface of data science, AI and environmental science with a focus on Bayesian spatio-temporal modelling. My methodological work is driven by the need for models and approaches which allow more accurate representation of complex systems in environmental modelling, policy support and health. I am the author of over 180 publications and co-author of two books: The Oxford Handbook of Epidemiology for Clinicians and Spatio-Temporal Modelling in Environmental Epidemiology using R (2nd edition).
My research has led to major impact across a variety of fields including environmental modelling, epidemiology, global burden of disease and public health.
Biography
I received my PhD in statistics and epidemiology from Imperial College where was a post-doctoral researcher in the Department of Epidemiology and Biostatistics. I then moved to the Department of Mathematical Sciences at the University of Bath as a Lecturer, then Senior Lecturer, Reader and Professor During that time I was also co-Director of the EPSRC funded Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa) and Deputy Director of the Bath Institute of Mathematical Innovation.
After Bath, I moved to the University of Exeter as Chair of Data Science and Statistics and Head of the Mathematics Department. At Exeter, I was also co-Director of the Joint Centre for Excellence in Environmental Intelligence, a joint research centre with the UK Met Office, PI and Director of the UKRI funded Centre for Doctoral Training in Environmental Intelligence: Data Science and AI for Sustainable Futures and co-Director of the Chinese University of Hong Kong (CUHK) – University of Exeter joint centre in Environmental Sustainability and Resilience (ENSURE).
Immediately prior to joining Cardiff University in 2024, I was Executive Dean of Engineering, Physical and Mathematical Sciences and Associate Pro-Vice Chancellor for Partnerships and External Collaboration at Royal Holloway University of London.
