In recent years a huge flow of quantitative social, demographic and behavioural data is becoming available spurring the quest for innovative technologies that can improve the traditional disease-surveillance systems, providing faster and better localized detection capabilities and resulting in a broad practical impact. Improved ICT techniques and methodologies support the inter-linkage and integration of datasets causing a qualitative change in the ways we can model epidemic processes. Visualization and analysis tools able to cope with multiple levels of representation are being developed along with computer simulations that provide experiments not feasible in the real world. For the first time, ICT and computation enable the study of epidemic in a comprehensive fashion that addresses the complexity inherent to the biological, social and behavioural aspects of health related problems. The EPIWORK project proposes a multidisciplinary research effort aimed at developing the appropriate framework of tools and knowledge needed for the design of epidemic forecast infrastructures. The research considers most of the much needed development of modelling, computational and ICT tools such as:

I. the foundation and development of the mathematical and computational methods needed to achieve prediction and predictability of disease spreading in complex social systems; II. the development of large scale, data driven computational models endowed with a high level of realism and aimed at epidemic scenario forecast; III. the design and implementation 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; IV. the set up of a computational platform for epidemic research and data sharing that will generate important synergies between research communities and countries.


CREATE-NET Center for REsearch And Telecommunication Experimentation for NETworked communities

Trento, Italy

Tel Aviv University

Tel Aviv, Israel

London School of Hygiene and Tropical Medicine

London, United Kingdom

Acquisto Inter BV

Amsterdam, Netherlands

Katholieke Universiteit

Leuven, Belgium

Bar-Ilan University

Ramat Gan,

Fondazione Bruno Kessler

Trento, Italy

Swedish Institute for Infectious Disease Control

Stockholm, Sweden

University of Lisbon

Lisbon, Portugal

Fundacao Calouste Gulbenkian

Lisbon, Portugal

Max Planck Gesellschaft zur Foerderung der Wissenschaften

Muenchen, Germany