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MOOD SIGNED

MOnitoring Outbreak events for Disease surveillance in a data science context

Total Cost €

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EC-Contrib. €

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Partnership

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 MOOD project word cloud

Explore the words cloud of the MOOD project. It provides you a very rough idea of what is the project "MOOD" about.

heterogeneous    climate    analytical    hence    changing    animal    health    infectious    online    economic    mobility    routine    collecting    detect    tested    designed    techniques    uptake    pass    detected    mining    genetic    borne    output    national    interpretation    spread    emergence    experts    visualisation    time    event    mood    pathogens    delayed    air    multiple    extensive    human    barriers    veterinary    informal    harness    data    diseases    platform    environment    signals    sustainable    relies    assure    socio    sources    combination    consultations    disease    originating    vector    anti    environmental    building    surveillance    ebs    public    lacks    microbial    sensitivity    indicator    ready    urbanization    epidemiological    undetected    effectiveness    covariates    ibs    complimented    risk    reporting    capacity    detection    international    sharing    monitoring    network    resistance    destined    drivers    exotic    framework    interdisciplinary    training    population    sectorial    tuned    big    water    model    inter    fine    combining   

Project "MOOD" data sheet

The following table provides information about the project.

Coordinator
CENTRE DE COOPERATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR LEDEVELOPPEMENT - C.I.R.A.D. EPIC 

Organization address
address: RUE SCHEFFER 42
city: PARIS
postcode: 75016
website: www.cirad.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 13˙915˙807 €
 EC max contribution 13˙910˙747 € (100%)
 Programme 1. H2020-EU.3.1.2. (Preventing disease)
 Code Call H2020-SC1-2019-Single-Stage-RTD
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE DE COOPERATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR LEDEVELOPPEMENT - C.I.R.A.D. EPIC FR (PARIS) coordinator 2˙634˙221.00
2    INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT FR (PARIS CEDEX 07) participant 1˙077˙956.00
3    PRINS LEOPOLD INSTITUUT VOOR TROPISCHE GENEESKUNDE BE (ANTWERPEN) participant 962˙172.00
4    STICHTING OPENGEOHUB NL (WAGENINGEN) participant 879˙140.00
5    AVIA-GIS NV BE (ZOERSEL) participant 831˙045.00
6    FONDAZIONE EDMUND MACH IT (SAN MICHELE ALL'ADIGE) participant 797˙096.00
7    INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE FR (PARIS) participant 753˙333.00
8    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 616˙280.00
9    AGENCE NATIONALE DE LA SECURITE SANITAIRE DE L ALIMENTATION DE L ENVIRONNEMENT ET DU TRAVAIL FR (MAISONS ALFORT) participant 492˙043.00
10    UNIVERSITE LIBRE DE BRUXELLES BE (BRUXELLES) participant 480˙750.00
11    ISTITUTO SUPERIORE DI SANITA IT (ROMA) participant 452˙126.00
12    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) participant 421˙956.00
13    INTERNATIONAL SOCIETY FOR INFECTIOUS DISEASES INCORPORATED US (BROOKLINE MA) participant 415˙543.00
14    INESC ID - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, INVESTIGACAO E DESENVOLVIMENTO EM LISBOA PT (LISBOA) participant 378˙522.00
15    TERVEYDEN JA HYVINVOINNIN LAITOS FI (HELSINKI) participant 375˙375.00
16    UNIVERSITY OF SOUTHAMPTON UK (SOUTHAMPTON) participant 349˙643.00
17    ENVIRONMENTAL RESEARCH GROUP OXFORD LIMITED UK (LEOMINSTER) participant 343˙833.00
18    UNIVERSITE DE MONTPELLIER FR (MONTPELLIER) participant 342˙890.00
19    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) participant 339˙000.00
20    GROUPE D'EXPERIMENTATION ET DE RECHERCHE: DEVELOPPEMENT ET ACTIONS LOCALISEES FR (ANGERS) participant 306˙832.00
21    MUNDIALIS GMBH & CO KG DE (BONN) participant 243˙270.00
22    SIB INSTITUT SUISSE DE BIOINFORMATIQUE CH (GENEVE) participant 230˙835.00
23    INSTITUT ZA ZASTITU ZDRAVLJA SRBIJEDR MILAN JOVANOVIC BATUT RS (BEOGRAD) participant 147˙505.00
24    INSTITUTO DE SALUD CARLOS III ES (MADRID) participant 39˙375.00
25    INSTITUT NATIONAL DE RECHERCHE EN SCIENCES ET TECHNOLOGIES POUR L'ENVIRONNEMENT ET L'AGRICULTURE FR (ANTONY CEDEX) participant 0.00

Map

 Project objective

The detection of infectious disease emergence relies on reporting cases, i.e. indicator-based surveillance (IBS). This method lacks sensitivity, due to non or delayed reporting of cases. In a changing environment due to climate change, animal and human mobility, population growth and urbanization, there is an increased risk of emergence of new and exotic pathogens, which may pass undetected with IBS. Hence, the need to detect signals of disease emergence using informal, multiple sources, i.e. event-based surveillance (EBS). The MOOD project aims at harness the data mining and analytical techniques to the big data originating from multiple sources to improve detection, monitoring, and assessment of emerging diseases in Europe. To this end, MOOD will establish a framework and visualisation platform allowing real-time analysis and interpretation of epidemiological and genetic data in combination with environmental and socio-economic covariates in an integrated inter-sectorial, interdisciplinary, One health approach: 1)Data mining methods for collecting and combining heterogeneous Big data, 2)A network of disease experts to define drivers of disease emergence, 3)Data analysis methods applied to the Big data to model disease emergence and spread, 4)Ready-to-use online platform destined to end users, i.e. national and international human and veterinary public health organizations, tailored to their needs, complimented with capacity building and network of disease experts to facilitate risk assessment of detected signals. MOOD output will be designed and developed with end users to assure their routine use during and beyond MOOD. They will be tested and fine-tuned on air-borne, vector-borne, water-borne model diseases, including anti-microbial resistance. Extensive consultations with end users, studies into the barriers to data sharing, dissemination and training activities and studies on the cost-effectiveness of MOOD output will support future sustainable user uptake

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The information about "MOOD" are provided by the European Opendata Portal: CORDIS opendata.

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