COMPARE

COllaborative Management Platform for detection and Analyses of (Re-)emerging and foodborne

Abstract

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.

Project details

Unibo Team Leader: Gerardo Manfreda

Unibo involved Department/s:
Dipartimento di Scienze e Tecnologie Agro-Alimentari
Dipartimento di Fisica e Astronomia "Augusto Righi"

Coordinator:
Danmarks Tekniske Universitet(Denmark)

Other Participants:
Apha Animal & Plant Health Agency (United Kingdom)
Universitaetsklinikum Bonn (Germany)
Istituto Superiore Di Sanita' (Italy)
Genome Research Limited (United Kingdom)
University Of Cambridge (United Kingdom)
Robert Koch-Institut (Germany)
ALMA MATER STUDIORUM - Università di Bologna (Italy)
Universiteit Antwerpen (Belgium)
Fondation Merieux (France)
Stiftung Tierarztliche Hochschule (Germany)
Erasmus Universiteit Rotterdam (Netherlands)
Artemis One Health Research Bv (Netherlands)
Ifremer-Institut Francais De Recherche Pour L'Exploitation De La Mer (France)
Universidad De Castilla - La Mancha (Spain)
Civic Consulting Alleweldt & Kara GbR (Germany)
Aristotele University Of Thessaloniki (Greece)
Wigner Fizikai Kutatokozpont (Hungary)
University Of Edinburgh (United Kingdom)
Dsmz Gmbh (Germany)
Erasmus Universitair Medisch Centrum Rotterdam (Netherlands)
Responsible Technology Sas (France)
Agence Nationale De Securite Sanitaire De L'Alimentation, De L'Environnement Et Du Travail-Anses (France)
Academic Medial Center (Netherlands)
Rijksinstituut Voor Volksgezondheid En Milieu-National Institute For Public Health And The Environment (Netherlands)
Friedrich Loeffler Institut - Bundesforschungsinstitut Fuer Tiergesundheit (Germany)
European Molecular Biology Laboratory (Germany)
The Australian National University (Anu) (Australia)
Statens Serum Institut (Denmark)

Total Eu Contribution: Euro (EUR) 20.817.771,00
Project Duration in months: 60
Start Date: 01/12/2014
End Date: 30/11/2019

Cordis webpage
Project website

Good health and well-being This project contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 643476 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 643476