GLEaMviz is a research project that has developed GLEaM, a Global Epidemic and Mobility model that integrates sociodemographic and population mobility data in a spatially structured stochastic disease approach to simulate the spread of epidemics at the worldwide scale.
The GLEaMviz project covers the research conducted with GLEaM as well as the tools derived from it. The project website reports on the progress of this project, its main results, publications of academic papers and editorial material, presentations at international conferences and workshops, and other outreach activities.
HarMS-flu (for "Harmonising multiple scales for data-driven computational approaches to the modeling of influenza spread") is a research project, led by V. Colizza from INSERM, in collaboration with InVS and the Complex systems team of the CPT. The HarMS-flu project proposes an interdisciplinary research effort with the potential to transform our understanding of the population-disease-environment system and our ability to plan/react/control a newly emerging pandemic.
SocioPatterns is an interdisciplinary research collaboration that adopts this data-driven methodology with the aim of uncovering fundamental patterns in social dynamics and coordinated human activity.
To achieve its scientific goals, the SocioPatterns collaboration also contributes to the development of new technologies for collecting relevant data. In particular, the projects supports the development of the SocioPatterns sensing platform, which uses wireless wearable sensors to gather longitudinal data on human mobility and face-to-face proximity in real-world environments. The SocioPatterns team also works on developing tools and techniques to represent, analyze and visualize the collected data.
LaNet-vi is a large networks visulization tool. It provides images of large scale networks on a two-dimensional layout. The algorithm is based on the k-core decomposition. A complete description of the algorithm and the visualization layout can be found in the project website. You can also find a interactive image generator and a guide to the interpretation of the images.
Influenzanet is a system to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the internet. It has been operational in The Netherlands and Belgium (since 2003), Portugal (since 2005), Italy (since 2008) and United Kingdom (since 2009), and the current objective is to implement Influenzanet in more European countries. In contrast with the traditional system of sentinel networks of mainly primary care physicians, Influenzanet obtains its data directly from the population. This creates a fast and flexible monitoring system whose uniformity allows for direct comparison of ILI rates between countries.