Obiettivo
COMPARE aims to harness the rapid advances in molecular technology to improve identification and mitigation of emerging infectious diseases and foodborne outbreaks. To this purpose COMPARE will establish a “One serves all” analytical framework and data exchange platform that will allow real time analysis and interpretation of sequence-based pathogen data in combination with associated data (e.g. clinical, epidemiological data) in an integrated inter-sectorial, interdisciplinary, international, “one health” approach.
The framework will link research, clinical and public health organisations active in human health, animal health, and food safety in Europe and beyond, to develop (i) integrated risk assessment and risk based collection of samples and data, (ii) harmonised workflows for generating comparable sequence and associated data, (iii) state-of-the-art analytical workflows and tools for generating actionable information for support of patient diagnosis, treatment, outbreak detection and -investigation and (iv) risk communication tools.
The analytical workflows will be linked to a flexible, scalable and open-source data- and information platform supporting rapid sharing, interrogation and analysis of sequence-based pathogen data in combination with other associated data. The system will be linked to existing and future complementary systems, networks and databases such as those used by ECDC, NCBI and EFSA. The functionalities of the system will be tested and fine tuned through underpinning research studies on priority pathogens covering healthcare-associated infections, food-borne disease, and (zoonotic) (re-) emerging diseases with epidemic or pandemic potential. Throughout the project, extensive consultations with future users, studies into the barriers to open data sharing, dissemination and training activities and studies on the cost-effectiveness of the system will support future sustainable user uptake.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- natural sciencescomputer and information sciencesdatabases
- medical and health scienceshealth sciencesinfectious diseases
- medical and health scienceshealth sciencespublic healthepidemiologypandemics
- engineering and technologyother engineering and technologiesfood technologyfood safety
- natural sciencescomputer and information sciencesdata sciencedata exchange
Programma(i)
- H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being Main Programme
- H2020-EU.3.1.2. - Preventing disease Main Programme
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-PHC-2014-single-stage
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
2800 Kongens Lyngby
Danimarca
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Partecipanti (29)
3015 GD Rotterdam
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2300 Kobenhavn S
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17493 Greifswald-Insel Riems
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94700 Maisons Alfort
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13353 Berlin
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69117 Heidelberg
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00161 Roma
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3721 MA Bilthoven
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SW1P 4DF LONDON
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EH8 9YL Edinburgh
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Partecipazione conclusa
53127 Bonn
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1105AZ Amsterdam
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2000 Antwerpen
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2629 JD Delft
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L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.
CB2 1TN Cambridge
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30559 Hannover
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13071 Ciudad Real
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69227 Lyon
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546 36 THESSALONIKI
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29280 Plouzane
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3062 PA Rotterdam
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0200 Canberra
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1121 Budapest
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10783 Berlin
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75009 PARIS
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L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.
40126 Bologna
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38124 Braunschweig
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CB10 1SA SAFFRON WALDEN
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10117 Berlin
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