M-Eco

The Medical Ecosystem - Personalized Event-based Surveillance

 Coordinatore GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER 

 Organization address address: Welfengarten 1
city: HANNOVER
postcode: 30167

contact info
Titolo: Dr.
Nome: Kerstin
Cognome: Denecke
Email: send email
Telefono: +49 511 762 17725
Fax: +49 511 762 19935

 Nazionalità Coordinatore Germany [DE]
 Totale costo 2˙591˙967 €
 EC contributo 1˙999˙999 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2009-4
 Funding Scheme CP
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-01-01   -   2012-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER

 Organization address address: Welfengarten 1
city: HANNOVER
postcode: 30167

contact info
Titolo: Dr.
Nome: Kerstin
Cognome: Denecke
Email: send email
Telefono: +49 511 762 17725
Fax: +49 511 762 19935

DE (HANNOVER) coordinator 0.00
2    AALBORG UNIVERSITET

 Organization address address: FREDRIK BAJERS VEJ
city: AALBORG
postcode: 9220

contact info
Titolo: Dr.
Nome: Peter
Cognome: Dolog
Email: send email
Telefono: 4599409974
Fax: 4599409798

DK (AALBORG) participant 0.00
3    JRC -JOINT RESEARCH CENTRE- EUROPEAN COMMISSION

 Organization address address: Rue de la Loi
city: BRUSSELS
postcode: 1049

contact info
Titolo: Mr.
Nome: James
Cognome: Gray
Email: send email
Telefono: +39 0332 785875
Fax: +39 0332 789682

BE (BRUSSELS) participant 0.00
4    NIEDERSACHSISCHES LANDESGESUNDHEITSAMT

 Organization address address: ROESEBECKSTRASSE
city: HANNOVER
postcode: 30449

contact info
Titolo: Dr.
Nome: Johannes
Cognome: Dreesman
Email: send email
Telefono: 495115000000
Fax: 495115000000

DE (HANNOVER) participant 0.00
5    ROBERT KOCH-INSTITUT

 Organization address address: Nordufer 20
city: Berlin
postcode: 13353

contact info
Titolo: Dr.
Nome: Daniel
Cognome: Faensen
Email: send email
Telefono: +49 30 18754 3940
Fax: +49 30 18754 3533

DE (Berlin) participant 0.00
6    SAIL LABS TECHNOLOGY AG

 Organization address address: MARIANNENGASSE
city: WIEN
postcode: 1090

contact info
Titolo: Mr.
Nome: Christoph
Cognome: Prinz
Email: send email
Telefono: +43 158095
Fax: +43 1 580 95 580

AT (WIEN) participant 0.00
7    Vysoke uceni technicke v Brne

 Organization address address: ANTONINSKA
city: BRNO
postcode: 60190

contact info
Titolo: Prof.
Nome: Pavel
Cognome: Smrz
Email: send email
Telefono: +420 541 141 282
Fax: +420 541 141 290

CZ (BRNO) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

threats    eco       intelligence    unofficial    public    health    signals    sources    designed    detection    content    limitations    time    sars    propagates    epidemic    diseases   

 Obiettivo del progetto (Objective)

Many factors in today's changing societies contribute towards the continuous emergence of infectious diseases. Demographic change, globalization, bioterrorism, compounded with the resilient nature of viruses and diseases such as SARS and avian influenza have raised awareness for European society's increasing vulnerability.nTraditional Epidemic Intelligence systems are designed to identify potential health threats, and rely upon data transmissions from laboratories or hospitals. They can be used to recognise long-term trends, but are limited in several ways. Threats, such as SARS, can go unrecognised since the signals indicating its existence may originate from sources other than the traditional ones. Second, a critical strategy for circumventing devastating public health events is early detection and early response. Conflictingly, the time with which information propagates through the traditional channels, can undermine time-sensitive strategies. Finally, traditional systems are well suited for recognising indicators for known diseases, but are not well designed for detecting those that are emerging. Faced with these limitations, traditional systems need to be complemented with additional approaches which are better targeted for the early detection of emerging threats.nThe Medical EcoSystem (M-Eco) project, will address these limitations by using Open Access Media and User Generated Content, as unofficial information sources for Epidemic Intelligence. This type of content has transformed the manner in which information propagates across the globe. Based on this, M-Eco will develop an Event-Based Epidemic Intelligence System which integrates unofficial and traditional sources for the early detection of emerging health threats. M-Eco will emphasize adaptivity and personalized filtering so that relevant signals can be detected for targeting the needs of public health officials who have to synthesize facts, assess risks and react to public health threats.

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