Dr Kerina Jones
Associate Professor
Swansea University Medical School
Telephone: (01792) 602764
Room: Cellular Office - 305
Third Floor
Data Science Building
Singleton Campus

Kerina Jones is an Associate Professor of Health Informatics at the College of Medicine. She is part of the senior management team of the Secure Anonymised Information Linkage (SAIL) system, and leads the Governance initiatives to ensure data protection and to maximise data utility. She has led the development of successful bids to extend the SAIL system and to secure research grants. She is a co-investigator on the centre grant for CIPHER: the Centre for the Improvement of Population Health through Erecords Research, and leads the Innovative Governance workstream for the Farr Institute of Health Informatics Research. She is a co-investigator on the centre grant for CADRE: the Centre for Administrative Data Research & Evaluation, one of four Administrative Data Research Centres (ADRCs) in the UK. Within this she holds the position of Associate Director for Data and Methodologies. She also leads the Public Involvement and Engagement in data linkage research workstream for SAIL, CIPHER and CADRE. As part of this work, she established an active Consumer Panel for data linkage research.

Kerina is engaged in many projects that bring together disparate sources of data to enhance research and enable new types of studies to be conducted, and has a keen interest in the development of innovative disease registers. She leads the flagship UK Multiple Sclerosis Register, the data model for which brings together clinical data, routinely-collected data and a wealth of patient-reported data to create new knowledge about MS. With an academic background in Biochemistry, she is also particularly interested in projects where laboratory data can be linked to routinely collected health related records to create rich datasets for research. She is actively publishing research and methodology articles.

Areas of Expertise

  • Data linkage: research
  • Data linkage: methodologies and governance
  • Information governance for data-intensive research


  1. et. al. Validating the portal population of the United Kingdom Multiple Sclerosis Register. Multiple Sclerosis and Related Disorders 24, 3-10.
  2. & Assessing the medium-term impact of a home-visiting programme on child maltreatment in England: protocol for a routine data linkage study. BMJ Open 7(7), e015728
  3. & The other side of the coin: harm due to the non-use of health-related data. International Journal for Population Data Science 1(1)
  4. & Data safe havens to combine health and genomic data: benefits and challenges. International Journal for Population Data Science 1(1)
  5. & Data Safe Havens and Trust: Toward a Common Understanding of Trusted Research Platforms for Governing Secure and Ethical Health Research. JMIR Medical Informatics 4(2), e22
  6. & The UK Secure eResearch Platform for public health research: a case study. The Lancet 388, S62
  7. & Dangers from Within? Looking Inwards at the Role of Maladministration as the Leading Cause of Health Data Breaches in the UK. In Data Protection and Privacy: (In)visibilities and Infrastructures. -239). Springer.
  8. & Physical Disability, Anxiety and Depression in People with MS: An Internet-Based Survey via the UK MS Register. PLoS ONE 9(8), e104604
  9. & The other side of the coin: Harm due to the non-use of health-related data. 97, 43-51.
  10. & (2014). A review of evidence relating to harm resulting from uses of health and biomedical data. A report to the Nuffield Council on Bioethics working party on biological and health data, and the Wellcome Trust’s expert advisory group on data access.
  11. & Factors associated with low fitness in adolescents – A mixed methods study. BMC Public Health 14(1), 764
  12. & Local modelling techniques for assessing micro-level impacts of risk factors in epidemiological data: Understanding health and socioeconomic inequalities in childhood educational attainments. PLoS One
  13. & Care.data: why are Scotland and Wales doing it differently?. BMJ 348(g2384)
  14. & A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: a privacy-protecting remote access system for health-related research and evaluation. Journal of Biomedical Informatics
  15. & Involving consumers in the work of a data linkage research unit. International Journal of Consumer Studies 38(1), 45-51.
  16. & Response to Fujita et al.. The American Journal of Gastroenterology 109(1), 138-139.
  17. & Outcome measures for Multiple Sclerosis: A review. Physical Therapy Reviews
  18. & The Physical and Psychological Impact of Multiple Sclerosis Using the MSIS-29 via the Web Portal of the UK MS Register. PLoS ONE 8(1), e55422
  19. & Identifying and Addressing the Barriers to the Use of an Internet-Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics 8(1), 1-16.
  20. & Desirability and expectations of the UK MS Register: Views of people with MS. International Journal of Medical Informatics 82(11), 1104-1110.
  21. & Incidence of Campylobacter and Salmonella Infections Following First Prescription for PPI: A Cohort Study Using Routine Data. The American Journal of Gastroenterology 108(7), 1094-1100.
  22. & Qualitative research within trials: developing a standard operating procedure for a clinical trials unit. Trials 14(1), 54
  23. & How People with Multiple Sclerosis Rate Their Quality of Life: An EQ-5D Survey via the UK MS Register. PLoS ONE 8(6), e65640
  24. & Sources of Discovery, Reasons for Registration, and Expectations of an Internet-Based Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics 7(3), 27-43.
  25. & Development and use of a privacy-protecting total population record linkage system to support observational, interventional, and policy relevant research. The Lancet 380, S6
  26. & Cohort Profile: The Housing Regeneration and Health Study. International Journal of Epidemiology
  27. & The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS. BMC Medical Informatics and Decision Making 12(1), 73

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  • PM-144 Introduction to Population Health: Systems and Organisation

    This module is designed to provide the foundational knowledge necessary to develop a deeper understanding of the historical context and antecedents for population health. It will address the structure, stakeholders, and processes of local, national and international health systems. An examination of the historical events and social, political, economic and demographic forces will help to contextualise the challenges faced by health systems stakeholders. Topics will cover both organisational and individual perspectives of population health and will serve as a foundation for further modules.

  • PM-348 Data to Decisions

    The module gives students an understanding, not only of the importance of using data, but of doing so safely and effectively to inform decision-making for population health and well-being. It covers five staged themes (forming a repeating cycle) and one cross-cutting theme: Stages: 1. Data provenance and collection 2. Data sharing platforms, formats and management 3. Data-intensive research 4. Evidence-based policy and practice development 5. The application of data in decision-making, which loops back to point 1. Cross-cutting theme: 6. Data in context This cross-cutting theme covers data governance, and the legal, ethical and societal (ELSI) issues in the safe use of person-based data for research, development and evaluation initiatives leading to evidence-based decisions. As well as the benefits of data use, it brings in harm that occurs when data are misused, and the harm that occurs to individuals and burdens to society when data cannot be used effectively. This module introduces students to the fundamental concepts, theories and applications of data use within a population health context. It explores the practical issues of dealing with large amounts of routinely collected health data, and the ways these data can be used to in evidence-based medicine. Topics will cover data linkage, data analytics, data governance, bias in data, emerging forms of data and innovations in data visualization.

  • 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-401 Science Communication

    This module will encompass a range of communication modes, from presentation of science to the general public to making a pitch for funding to `investors¿ The module will be run as a series of online seminars to prepare, firstly, for a short 3 minute thesis-like presentations to both a professional and non-professional audience. This will be complemented by preparation of short, New Scientist-style articles by each student on the topic of their presentation. Students will be assigned a topic that is appropriate to their degree title. For example, a Medical Geneticist could address recent advances in gene therapy. Subsequently, their task will be to produce a pitch to attract investment to commercialise their research. In the latter half of the module, the focus will be on skills-training for writing a scientific paper, preparing the ground for their project dissertations.

  • PMGM13 Ethical, Legal and Societal Issues (ELSI) in Applied Genomics

    This module will provide students with an understanding of the legal, regulatory & governance frameworks associated with medical genomics and the use of genomic data. It will equip students to explore and evaluate the main ethical, legal and social issues (ELSI) involved in: genomic testing and the wider implications for the patient and their families; precision medicine; and the use of genomic data for population research.

  • PMIM202 Health Data Modelling

    Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets.


  • 'Determining reasons for anxiety among people with MS' (current)

    Student name:
    Other supervisor: Dr Kerina Jones
  • The development and evaluation of a second-generation assessment tool to evaluate medicines online information. (current)

    Student name:
    Other supervisor: Dr Kerina Jones
    Other supervisor: Prof David Skibinski
    Other supervisor: Dr Kerina Jones
    Other supervisor: Dr Melanie Healy
  • Risk appetite and personal data sharing; To what extent does the understanding of risk appetite impact upon the processing of personal data within Public Health Wales and the organisation’s ability to deliver on its Wellbeing objectives? (current)

    Student name:
    Other supervisor: Dr Jodie Croxall
    Other supervisor: Dr Kerina Jones