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The University of Southampton
Geography and Environmental SciencePostgraduate study

Mr Peter Dutey-Magni BA, MSc

Postgraduate researcher (Geography & Environmental Science / Social Statistics & Demography) Research assistant (Clinical & Experimental Sciences)

Mr Peter Dutey-Magni's photo

Mr Pierre Dutey-Magni is Postgraduate research student within Geography and Environmental Science at the University of Southampton.

Peter is currently in the final year of a PhD examining recent developments in spatial modelling and their application to the estimation of local population health indicator using small area estimation, under the supervision of Prof Graham Moon and Dr Nikos Tzavidis. This research looks at methods used to produce population health intelligence for small geographical areas across nations by combining data from household surveys, censuses and administrative sources. In the context of the ongoing Census Transformation Programme aiming to move to abolish traditional census enumeration in the UK from 2021, Peter’s research examines the potential of small area estimation to carry on publishing health information in the absence of a full traditional census.

Peter is also a research assistant in Clinical & Experimental Sciences, collaborating with Julia Sinclair on a Biomedical Research Unit project to develop an alcohol brief intervention as part of urgent suspected breast cancer referrals into secondary care. This research is drawing consequences of the ongoing revision of the UK’s national alcohol guidelines.

Before joining the University of Southampton, Peter studied social statistics at the University of Manchester’s Cathie Marsh Institute in 2012. He also worked as an intelligence analyst at the Royal Free London NHS Foundation Trust, supporting the Trust’s prevention programmes and providing demand projections for emergency and urgent care for a population of 1.6 million.

Research interests

Peter’s is interested in applications of predictive modelling to public health and medicine, to advance methodological approaches used in planning health care services and designing prevention strategies. This is connected to an interest in hierarchical models, meta-analysis methodology, survey and trial design (complex, adaptive, model-based).

MPhil/PhD research

Statistical Models for Local Public Health Intelligence on Chronic Morbidity

Supervisors: Graham Moon, Nikos Tzavidis

Funding: ESRC +3 Advanced Quantitative Methods (Southampton Doctoral Training Centre)

Research group

Population, Health and Wellbeing (PHeW)

Research project(s)

Spatial Population Analysis and Modelling theme

Member of the Royal Statistical Society’s General Applications Section

Mr Peter Dutey-Magni
Building 44 University of Southampton University Road Southampton SO17 1BJ
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