My background in both geography and epidemiology has given me an appreciation of two often separate disciplines, amplified by my transfer between two very different research settings; one of spatial epidemiology, the other of anonymous databanks. My research contributions to date have significantly advanced the potential of using an anonymous health databank for spatial analyses of the environment to aid in the understanding of environmental health determinants.

Publications

  1. & Evaluation of an intervention to promote walking during the commute to work: a cluster randomised controlled trial. BMC Public Health 19(1)
  2. & (2018). Linking household level GIS-generated environmental exposure scores with individual level anonymised health data. Presented at International Journal of Population Data Science,(4) Swansea: doi:10.23889/ijpds.v3i4.926
  3. & Linking environment and health data to investigate the association between access to unhealthy food and child BMI. International Journal of Population Data Science 3(4)
  4. & Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond. Learning Health Systems, e10191
  5. & Health impact, and economic value, of meeting housing quality standards: a retrospective longitudinal data linkage study. Public Health Research 6(8), 1-104.

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Teaching

  • PM-349 Global Population Health: future opportunities and challenges

    This module consolidates global issues on the social, economic, political and environmental determinants of population size, structure and population health in both, high income countries as well as low and middle income countries from a multidisciplinary approach including social sciences, epidemiology, demography and public health. Topics include the relationship health and economic change; social support, social capital and health; policy responses to inequalities in health; prospects for mortality and morbidity change; urbanization and its implications for health, poverty, population change and inequalities; the `double burden┬┐ of disease and its consequences; the roles of nutrition an obesity for health of populations; emerging and current infectious diseases; the global burden of mental health disorders; and priorities for health improvements for low income countries. Throughout the module, students are encouraged to consider potential future opportunities and challenges for global population health.

  • PM-350 Evaluating natural experiments and complex interventions

    This module is designed to further develop students┬┐ knowledge and understanding of the development and evaluation of natural experiments and non-randomised studies of interventions (NRSIs). These are necessary when the population cannot be randomised to intervention and control arms of an experiment. The module will cover evaluations of national economic or local government policies using relevant examples from recent natural experiments and NRSIs. Including, for example, the impact of outdoor green and blue spaces on mental health and wellbeing, and improvements to social housing and the resulting health utilisation impact. In addition, the module will explore how these wider determinants of health are evaluated to most effectively to contribute evidence to enable policy decisions resulting in reduced inequities.

Supervision

  • '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: Dr Richard Fry
    Other supervisor: Prof Ronan Lyons
    Other supervisor: Prof Sarah Rodgers