Professor Sarah Rodgers

Professor Sarah Rodgers
Professor
Swansea University Medical School
Telephone: (01792) 602308
Room: Cellular Office - 304
Third
Data Science Building
Singleton Campus

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. & (2016). Change in alcohol outlet density and alcohol-related harm to population health (CHALICE): a comprehensive record-linked database study in Wales. Public Health Research 4(3), 1-184.
  2. & (2017). Improving Mental Health through the Regeneration of Deprived Neighborhoods: A Natural Experiment. American Journal of Epidemiology
  3. & (2017). The short-term health and psychosocial impacts of domestic energy efficiency investments in low-income areas: a controlled before and after study. BMC Public Health 17(1)
  4. & (2017). Defining asthma and assessing asthma outcomes using electronic health record data: a systematic scoping review. European Respiratory Journal 49(6), 1700204
  5. & (2016). Residential Moving and Preventable Hospitalizations. PEDIATRICS 138(1), e20152836-e20152836.

See more...

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.

  • 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.

  • PMIM502 Health Data Visualisation

    Health data scientists making use of computational and storage resources will eventually be called to present their findings to an audience. The objective of this module is to enable students to choose and produce appropriate static and dynamic visualisations of health data using a range of media.

Supervision

  • 'Creating and Utilising a Wales Asthma Observatory to support health policy, health service planning and clinical research' (current)

    Student name:
    PhD
    Other supervisor: Prof Ronan Lyons
    Other supervisor: Prof Sarah Rodgers

  • Untitled (current)

    Student name:
    PhD
    Other supervisor: Prof Sarah Rodgers
    Other supervisor: Dr Charles Musselwhite

  • Examining the causal mechanisms of improvements to health and wellbeing associated with green-blue spaces: a mixed methods approach (current)

    Student name:
    PhD
    Other supervisor: Dr Alison Porter
    Other supervisor: Prof Sarah Rodgers

  • '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

Calling from outside the UK?

+44 1792 602308