DEFOG
Financiado
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...
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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Duración del proyecto: 30 meses
Fecha Inicio: 2019-09-12
Fecha Fin: 2022-03-31
Fecha Fin: 2022-03-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2022-03-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2018-PoC:
ERC Proof of Concept Grant
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
132K€
Líder del proyecto
UNIVERSITEIT HASSELT
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
2.00M€ |
Participante