Project description
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
- natural sciencescomputer and information sciencesdata science
- natural sciencesbiological sciencesgenetics
- medical and health scienceshealth sciencespublic health
- medical and health scienceshealth sciencesinfectious diseases
- medical and health sciencesbasic medicinepharmacology and pharmacydrug resistanceantibiotic resistance
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
3015 GD Rotterdam
Netherlands
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Participants (19)
2800 Kongens Lyngby
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17493 Greifswald-Insel Riems
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69117 Heidelberg
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SW1P 4DF LONDON
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1053 Budapest
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3721 MA Bilthoven
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29280 Plouzane
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546 36 THESSALONIKI
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1081 HV Amsterdam
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75724 Paris
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28006 Madrid
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1015 Lausanne
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2492 JP DEN HAAG
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EH8 9YL Edinburgh
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40126 Bologna
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35122 Padova
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751 05 Uppsala
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00014 Helsingin Yliopisto
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1165 Kobenhavn
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