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 to be used in by epidemiologists and public health scientists. The project is a truly interdisciplinary effort, anchored to the research questions and needs of epidemiology research by the participation in the consortium of leading epidemiologists, public health specialists and mathematical biologists.
Epidemic researchers along with informatics, computer science, complex systems and physics leading scientists, will tackle most of the much needed development in epidemic forecast of modeling, 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 techno-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; v) the set up of a computational platform for epidemic research and data sharing that will generate important synergies between research communities and countries.
Latest News From Epiwork
New paper in Plos ONE on human mobility restrictions measures against the global spreading of H1N1pdm influenza
Travel-related and mobility restriction policies are often considered to be the first line of defence against the spread of an emerging infectious disease. The wide range of implementation scenarios of such policies calls for models that are able to anticipate their actual effectiveness. We tackle this problem in the recent publication: Human mobility [...]
New publication on the Internet-based surveillance of Influenza-like Illness in UK during the H1N1 pandemic
The deplyoment of the Influenzanet platform, for the web-based surveillance of influenza-like illness in UK during the 2009 pandemic, is extensively presented in the new publication: Internet-based surveillance of Influenza-like-illness in the UK during the 2009 H1N1 influenza pandemic. Tilston NL, Eames KT, Paolotti D, Ealden T, Edmunds WJ, BMC Public Health 2010, 10:650 (2010). The paper presents [...]
Second Workshop Dynamical Systems Applied to Biology and Natural Sciences, CMAF | Lisbon University, 2-4 February 2011
The Second Workshop “Dynamical Systems applied to Biology and Natural Sciences” will be held at the Centro de Matemática e Aplicações Fundamentais (CMAF), Lisbon University, in Portugal, from February 2 to 4, 2011. The workshop has both theoretical and practical applications and the abstracts included in the program cover research topics in [...]