Areas of Expertise

  • GIS
  • Spatial Analysis
  • Computing
  • Spatial Databases
  • OpenSource Software

Publications

  1. & 68 Implementation of the ‘School Travel Safety Survey’ for Data Linkage Research. Injury Prevention 22(Suppl 2), A26.2-A27.
  2. & 597 A design for the evaluation of the emergency medical retrieval and transfer service (EMRTS) Cymru. Injury Prevention 22(Suppl 2), A214.2-A214.
  3. & 417 Incidence and epidemiology of burns treated in the welsh centre for burns. Injury Prevention 22(Suppl 2), A152.3-A153.
  4. & 302 Alcohol outlet density and hospital admissions for alcohol-related injury: an electronic record-linked cohort study. Injury Prevention 22(Suppl 2), A110.2-A110.
  5. & Longitudinal access and exposure to green-blue spaces and individual-level mental health and well-being: protocol for a longitudinal, population-wide record-linked natural experiment. BMJ Open 9(4), e027289

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Teaching

  • GEGM22 Geographical Information Systems

    This module will provide students from a range of disciplines including Geography, Epidemiology and Bioscience, with a comprehensive understanding of Geographic Information Systems, and key practical skills in the market-leading GIS software tool, ESRI ArcGIS. At the end of the module students will know how and where to acquire geospatial data, how to combine and analyse these data for specific objectives, and how to visualise primary and derived data in the form of maps.

  • PMIM102 Scientific Computing and Health Care

    The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dan Thayer

  • PMIM502 Health Data Visualisation

    Health data scientists often have to present their findings to a non-academic/expert audience. The objective of this module is to enable students to choose and produce appropriate visualisations of health related data using a range of media. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dr Richard Fry.

Supervision

  • Active Children Through Individual Vouchers – Evaluation (ACTIVE): a mixed method randomised control trial to improve the health and socialisation of teenagers. (current)

    Student name:
    PhD
    Other supervisor: Prof Damon Berridge
    Other supervisor: Dr Richard Fry
    Other supervisor: Prof Sinead Brophy
  • 'Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data' (awarded 2018)

    Student name:
    PhD
    Other supervisor: Prof Ronan Lyons
    Other supervisor: Dr Richard Fry
    Other supervisor: Prof Sarah Rodgers