Description
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. The M-Eco – Medical Ecosystem: Personalized Event-based surveillance – 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 the traditional report-ing mechanisms.
The research leading to these results has received funding from the European Community‘s Seventh Framework Programme (FP7/2007-2013) under grant agreement No.247829
AAU main task inthe project is to develop personalized recommendation methods and user modeling approaches for recommending detected medical events.
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. The M-Eco – Medical Ecosystem: Personalized Event-based surveillance – 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 the traditional report-ing mechanisms.
The research leading to these results has received funding from the European Community‘s Seventh Framework Programme (FP7/2007-2013) under grant agreement No.247829
AAU main task inthe project is to develop personalized recommendation methods and user modeling approaches for recommending detected medical events.
| Acronym | MEco |
|---|---|
| Status | Finished |
| Effective start/end date | 01/01/2010 → 30/06/2012 |
Funding
- FP7 IST: DKK1,999,000.00
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Public health
Ecosystems
Communication
Health