EPIWORK

Developing the framework for an epidemic forecast infrastructure

The EPIWORK project proposed a multidisciplinary research effort aimed at developing the approriate framework of tools and knowledge needed for the design of epidemic forecast infrastructures. The research considered most of the much needed development of modeling, computational and ICT tools such as:

  • the foundation and development of the mathematical and computational methods needed to achieve prediction and predictability of disease spreading in complex social systems;
  • the development of large scale, data driven computational models endowed with a high level of realism and aimed at epidemic scenario forecast;
  • the design and implemention of original data-collection schemes motivated by identified modelling needs, such as the collection of real-time disease incidence, through innovative web and ICT applications.
  • the set up of a computational platform for epidemic research and data sharing that will generate important synergies between research communities and countries.

MMLAP and other EU Projects

Health system analysis to support capacity development in response to the threat of pandemic influenza in Asia
Making society an active participant in water adaptation to global change
Public Participation in Developing a Common Framework for Assessment and Management of Sustainable Innovation
Effective communication in outbreak management: development of an evidence-based tool for Europe
Developing the framework for an epidemic forecast infrastructure
European monitoring of excess mortality for public health action
Modelling the spread of pandemic influenza and strategies for its containment and mitigation
Cost-effectiveness assessment of european influenza human pandemic alert and response strategies
Bridging the gap between science, stakeholders and policy makers
Promotion of immunization for health professionals in Europe
Towards inclusive research programming for sustainable food innovations
Medical ecosystem – personalized event-based surveillance
Public Engagement with Research And Research Engagement with Society
Computing Veracity – the Fourth Challenge of Big Data
Transparent communication in Epidemics: Learning Lessons from experience, delivering effective Messages, providing Evidence