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Analytics & Tools
Under this programme of work, ESCAPE is developing and sharing innovative tools and methods which can make the most out of the data available during future pandemics. We are building a modelling and inference ecosystem - including risk assessments, real-time analyses, projections and scenario models - to understand and project the transmission dynamics of Pathogen X, as well as cataloguing statistical approaches to infer key epidemiological parameters. To ensure that advances in modelling and data assimilation are translated into practice, this workstream is developing a suite of digital tools and frameworks to support decision-makers in selecting mitigation and control measures.
Work package lead:
National Institute of Public Health and Environment (RIVM)
Participants of the consortium:
Hasselt University (UH), National Institute of Health and Medical Research (INSERM), National Institute of Health Doctor Ricardo Jorge (INSA),
London School of Hygiene & Tropical Medicine (LSHTM), University of Bern (UBern)
Tasks of the Work Package
1
Analytics and models for transmission dynamics: data assimilation
INSERM, RIVM, UH, INSA, UBern
2
Developing tools to monitor and plan effective responses for mitigation and control of the infection
UH, LSHTM, INSERM, RIVM
3
Key epidemiological characteristics
UBern, LSHTM, UH, RIVM, INSA
4
Comparing and selecting models for an effective response
RIVM, INSA, UH, UBern, INSERM
Output
This project was supported by the ESCAPE project (101095619), funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.
This work was funded by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee [grant number 10051037].
This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 22.00482.
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