Personalized Event-based Surveillance
The health of a society’s individuals is not isolated from the natural environment. Symbiotically we influence and are influenced by the ecosystem.
Public health officials are faced with new challenges for outbreak alert and response due to the continuous emergence of infectious diseases and their contributing factors such as demographic change, or globalization.
Early reaction is necessary, but often communication and information flow through traditional channels is slow.
SAIL LABS Technology is part of the ambitious M-ECO consortium that aims to develop an early warning system for disease detection by using additional approaches: The project proposes a complementing way to early detection of public health threats by using additional sources of information. These days, online media, weblogs, scientific and non-scientific discussion forums and direct electronic communication provide complements to traditional reporting mechanisms.
M-Eco will address limitations of current systems for Epidemic Intelligence by
- More sophisticated event-detection technologies (unsupervised and supervised methods)
- Additional resources (Web 2.0 data, Multimedia)
- Personalization and filtering
- Integration with existing systems
The M-Eco consortium is composed of seven complementary organisations which are based in five different European countries, thereby securing the dissemination and penetration of the project results across Europe.
User institutions participating in the project through the M-Eco Advisory Board include representatives of the World Health Organiziation (WHO), European Center of Disease Control (ECDC), Health Protection Agency (HPA), Institut de Veille Sanitaire (INVS), and the Mekong Basin Disease Surveillance (MBDS).
For more information please visit http://www.meco-project.eu/home
The research leading to these results has received funding from the European Community‘s Seventh Framework Programme.