IMPACT: A generalisable system for simulating public health interventions

Iain Buchan, John Ainsworth, Emma Carruthers, Philip Couch, Martin O'Flaherty, Duncan Smith, Richard Williams, Simon Capewell

    Research output: Contribution to journalArticlepeer-review


    Populations are under-served by local health policies and management of resources, partly because of a lack of realistically complex models to enable a wide range of potential options to be appraised. Rising computing power coupled with advances in machine learning and healthcare information now enables such models to be constructed and executed. However, such models are not generally accessible to public health practitioners because they do not have the requisite technical knowledge or skills. This paper presents a system for creating, executing and analyzing the results of simulated public health and healthcare policy interventions, which is more accessible and usable by modellers and policy-makers alike.

    Original languageEnglish
    Pages (from-to)486-90
    Number of pages5
    JournalStudies in Health Technology and Informatics
    Issue numberPt 1
    Publication statusPublished - 2010


    • Computer Simulation
    • Coronary Artery Disease
    • Great Britain
    • Humans
    • Models, Theoretical
    • Prevalence
    • Proportional Hazards Models
    • Public Health Informatics
    • Survival Analysis
    • Survival Rate
    • Journal Article
    • Research Support, Non-U.S. Gov't


    Dive into the research topics of 'IMPACT: A generalisable system for simulating public health interventions'. Together they form a unique fingerprint.

    Cite this