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DEFOG

financed

Closed

Data science tool for Epidemic FOrecastinG

Several organisations active in the health care market make decisions based on an estimation of the number of individuals infected with an infectious disease. These organisations benefit from a timely and trust-worthy prediction o... see more

31/03/2022

UHASSELT

132K€

Project Budget: 132K€

Project leader

UNIVERSITEIT HASSELT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2022-03-31

ERC-2018-PoC: ERC Proof of Concept Grant Scope:Objectives

I+D

Cerrada does 7 years

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

UHASSELT

131.56K€ | Leader

M TORRES DISEÑOS INDUSTRIALE...

2.00M€ | participant

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Project duration: 30 months Date Start: 2019-09-12
End date: 2022-03-31

Project leader

UNIVERSITEIT HASSELT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 132K€

participation deadline Sin fecha límite de participación.

Project description Several organisations active in the health care market make decisions based on an estimation of the number of individuals infected with an infectious disease. These organisations benefit from a timely and trust-worthy prediction of the number of infected individuals. To date, infectious disease predictions tools are inadequate because they typically include limited and domain-specific data and because the translation to impact for specific stakeholders in the healthcare market is lacking. DEFOG proposes a data science solution as we will integrate classical surveillance data, pharmacy sales data, out-of-hours general practitioners data and social contact data in a novel real-time forecasting tool that will yield better and more rapid warning signals of the number of infected cases. DEFOG will produce software and know-how under intellectual property of the principal investigator which will be exploited through licence agreements with and consultancy services for various stakeholders. DEFOG will build on recent advances in mathematical modelling for infectious diseases as part of the original ERC-TransMID project. The team offers a vast amount of expertise in mathematical and infectious disease modelling, computational processing, business development and has an extensive collaborative network with research centres, regulatory agencies and companies, of which 4 entities already expressed interest in exploring the use and/or sharing data for of the proposed innovative real-time disease forecasting tool.

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