Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Sharable simulations of public health for evidence based policy making

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Couch, P.A. ; Northwest Inst. for Bio-Health Inf., Univ. of Manchester, Manchester, UK ; Ainsworth, J. ; Buchan, I.

Local health policies are not as evidence based as they could be if the public health impacts of policies were easier to simulate. Here we address the inaccessibility of high quality models of public health and policy - presenting the concepts of a new simulation framework, IMPACT, built on Semantic Web principles. Model and simulation data are persisted with rich semantics and context to support sharing and interpretation. For this purpose, graph storage systems are explored alongside a new framework for mapping clinical data objects to graphical models. The computation employs functional programming for the parallelised simulation of locally representative populations/cohorts changing over time. The input data, model information and simulation results are mapped to social networks of policy making using the Work/Research Object and e-Lab paradigm that is emerging in E-Science.

Published in:

Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on

Date of Conference:

27-30 June 2011