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Versatile Emerging infectious disease Observatory

Project description

DEENESFRITPL

Early detection of infectious disease

Researchers will build a Versatile Emerging infectious disease Observatory (VEO) 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. This is an iterative process between data science and technology experts, disease experts, social scientists, and citizen scientists. The platform will support mining, sharing, integration, presentation and analysis of traditional and novel data sources, integrating both publicly available and confidential data. VEO will be (co)designed and tested through five 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.

Objective

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.

Fields of science

Keywords

Programme(s)

Topic(s)

Call for proposal

H2020-SC1-BHC-2018-2020

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Sub call

H2020-SC1-2019-Single-Stage-RTD

Funding Scheme

RIA - Research and Innovation action

Coordinator

ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM
Net EU contribution
€ 3 676 978,69
Address
DR MOLEWATERPLEIN 40
3015 GD Rotterdam
Netherlands

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Region
West-Nederland Zuid-Holland Groot-Rijnmond
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 3 676 978,69

Participants (19)

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Last update: 17 April 2024

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Permalink: https://cordis.europa.eu/project/id/874735

European Union, 2024