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Research Topics

The ESCAPE project will develop new insights, methods and blueprints to tackle a possible future 'Pathogen X' pandemic. 

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ESCAPE's main objective is to improve the efficiency and scalability of early pandemic response plans by providing stakeholders with evidence-based guidelines, standardised research protocols, retroactive insights and digital solutions. 

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The project will contribute to fostering an intelligent community allowing improved knowledge sharing and cooperation between policy-makers, the scientific community, the media and the public, ensuring a much more effective response to future pandemics.

 

Our research questions are grouped into four intersecting domains: 

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Data Readiness

  • identify data sources and studies with respect to availability, quality, sharing and comparability

  • create an atlas of cohort study designs to enhance preparedness

  • enhance and support data and protocol-sharing frameworks

Goals:

Goals:

Analytics & Tools

  • advance epidemic analytics and models to understand the transmission dynamics

  • improve and share digital tools to monitor and plan an efficient response

  • provide fast and precise estimators for key epidemiological characteristics

Analytics

Goals:

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Determinants of success

  • define indicators of ''success'' and ''failure'' across pandemic stages

  • collate data on determinants and indicators of success

  • analyse relationschips between country-level determinants and outcomes 

Goals:

Decision Aid

  • assess and categorise the epidemiology of pathogens with pandemic potential and categorise potential control measures

  • develop a decision tool to guide decision-makers

  • capture and incorporate feedback on the tool from policy-makers, technical advisors and practitioners

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Goals:

Project Outline

WP 2

Blueprint development

WP2: Blueprint Development

  1. Characterisation of Pathogens

  2. Decision Tool Development 

Lead: LSHTM

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WP 5

Determinants of success

WP5: Determinants of success

  1. Indicators of success and failure

  2. Statistical and efficiency analysis

  3. Understanding behavioural changes 

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Lead: UAntwerp

WP 3:

Data

Readiness

WP3

Data

Readiness

  1. Data needs and
    availability

  2. Improve data
    collection/access

  3. Sustainable data
    landscape

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Lead: ISI

WP 4:

Analytics

& tools

WP4

Analytics & Tools

  1. Infectious disease
    models

  2. Integration of
    genomic surveillance

  3. Software tool
    development

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Lead: RIVM

WP 1

Ethics Requirement

WP1: Ethics Requirement

Lead: UHasselt

WP 6

Intelligent Community

WP6: Intelligent Community

  1. Strenghtening the knowledge base

  2. Increase science literacy

  3. Dissemination to the community

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Lead: UHasselt

WP 7

Project Management

WP7: Project management

Lead: UHasselt

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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