Versatile Emerging infectious disease Observatory

Acronym

VEO

Description of the granted funding

Our vision is to establish a Versatile forecasting, nowcasting, and tracking system (VEO) serving as an interactive observatory for the generation and distribution of high quality actionable information for evidence-based early warning, risk assessment and monitoring of Emerging Infectious Diseases and Antimicrobial resistance by public health actors and researchers in the One-Health domain.VEO will be built by an iterative process between data science and technology experts, disease experts from public health and academia, social scientists, and citizen scientists. The VEO data platform will support mining, sharing, integration, presentation and analysis of traditional and novel ‘Bio data’ with a range of “Contextual data”, integrating publicly available and confidential data. The VEO analytical platform will support data-intensive interdisciplinary collaboration of geographically distributed international teams, co-creation of novel advanced analytical solutions, and involving citizen scientists through crowdsourcing of specific challenges. In addition, we will develop workflows to integrate high density laboratory data (genomics, phenotyping, immunomics) into the VEO system and into risk assessments. The VEO system is (co)designed and tested through five complementary use case scenarios, reflecting main pathways of disease emergence, to attune developments to the needs of its intended users, and obtain proof-of-principle of utility, including ethical, legal and social implications.
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Starting year

2020

End year

2025

Granted funding

511 807.5 €
Participant
THE SECRETARY OF STATE FOR ENVIRONMENT, FOOD AND RURAL AFFAIRS (UK)
564 901.25 €
Participant
STICHTING VUMC (NL)
390 575 €
Participant
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (CH)
390 000 €
Participant
Academisch Medisch Centrum bij de Universiteit van Amsterdam (NL)
390 575 €
Participant
FRIEDRICH LOEFFLER INSTITUT - BUNDESFORSCHUNGSINSTITUT FUER TIERGESUNDHEIT (DE)
801 900 €
Participant
INSTITUT FRANCAIS DE RECHERCHE POUR L'EXPLOITATION DE LA MER (FR)
418 170 €
Participant
CENTRAAL BUREAU VOOR DE STATISTIEK (NL)
345 430 €
Participant
ARISTOTELIO PANEPISTIMIO THESSALONIKIS (EL)
405 137.5 €
Participant
EOTVOS LORAND TUDOMANYEGYETEM (HU)
1 075 177.5 €
Participant
THE UNIVERSITY OF EDINBURGH (UK)
531 940 €
Participant
UPPSALA UNIVERSITET (SE)
511 887.5 €
Participant
EUROPEAN MOLECULAR BIOLOGY LABORATORY (DE)
2 488 286.25 €
Participant
ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM (NL)
3 676 978.69 €
Coordinator
DANMARKS TEKNISKE UNIVERSITET (DK)
2 831 094.7 €
Participant
KOBENHAVNS UNIVERSITET (DK)
435 830 €
Participant
RIJKSINSTITUUT VOOR VOLKSGEZONDHEID EN MILIEU (NL)
924 606.9 €
Participant
AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS (ES)
691 975 €
Participant
INSTITUT PASTEUR (FR)
247 980 €
Participant
ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA (IT)
420 857.91 €
Participant
UNIVERSITA DEGLI STUDI DI PADOVA (IT)
453 850 €
Participant

Amount granted

18 118 386 €

Funder

European Union

Funding instrument

Research and Innovation action

Framework programme

Horizon 2020 Framework Programme

Call

Programme part
Health (5290)
Preventing disease (5295)
Topic
Mining big data for early detection of infectious disease threats driven by climate change and other factors (SC1-BHC-13-2019)
Call ID
H2020-SC1-2019-Single-Stage-RTD

Other information

Funding decision number

874735

Identified topics

covid, pandemic, vaccines