Efficient and rapidly SCAlable EU-wide evidence-driven Pandemic response plans through dynamic Epidemic data assimilation

Información del proyecto

ESCAPE

Identificador del acuerdo de subvención: 101095619

DOI

10.3030/101095619

Fecha de la firma de la CE 6 Octubre 2022

Fecha de inicio 1 Enero 2023

Fecha de finalización 31 Diciembre 2026

Financiado con arreglo a

• Health

Coste total

€ 2 420 930,00

Aportación de la UE

€ 2 420 929,75

Coordinado por

UNIVERSITEIT HASSELT
Belgium

Periodic Reporting for period 2 - ESCAPE (Efficient and rapidly SCAlable EU-wide evidence-driven Pandemic response plans through dynamic Epidemic data assimilation)

Período documentado: 2024-07-01 hasta 2025-12-31

Resumen del contexto y de los objetivos generales del proyecto

In an interconnected world, the emergence of a novel "Pathogen X" is a matter of "when," not "if." The COVID-19 pandemic revealed that our response speed often lags behind viral spread due to fragmented data, inconsistent modeling, and rigid decision-making frameworks. ESCAPE addresses these vulnerabilities by transforming past lessons into a "pandemic engine" designed for speed and scientific accuracy. We bridge the gap between scientists and policymakers to ensure that when a new threat appears, Europe is prepared with immediate, evidence-based tools rather than starting from scratch.
To achieve this, ESCAPE focuses on six key objectives:
Blueprint for Decisions: Providing a science-based guide for faster, better management of novel outbreaks.
Data Readiness: Enhancing the availability and sustainable sharing of high-quality health data.
Advanced Analytics: Developing sophisticated models to project how Pathogen X transmits through society.
Digital Toolkits: Sharing open-source software to monitor and plan effective responses.
Success Analysis: Identifying what worked, and what didn't, during SARS-CoV-2 to guide future policy.
Collaborative Intelligence: Building a sustained community of experts and data stewards equipped to defeat epidemics together.
By integrating social behavior with advanced epidemiology, ESCAPE creates a defense system, ensuring the global community can stay one step ahead of the next health crisis.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

Blueprint for Decisions: Developed a pathogen categorization, started and open-source blueprint tool and R package for rapid pandemic response.
Data Readiness:Improved data readiness via AI literature mapping, a cohort web atlas, and high-quality synthetic population modeling.
Advanced Analytics: Developing sophisticated models to project how Pathogen X transmits through society.
Digital Toolkits: Toolkit available on project website.
Success Analysis: Analyzed COVID-19 to find trade-offs in health and well-being, identifying strategic NPIs as key for Pathogen X success.
Collaborative Intelligence: Sustaining a community of data stewards and experts through active engagement with policy, media, and the public.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

We want to empower public health authorities by creating a comprehensive toolkit to tackle future "Pathogen X" outbreaks with confidence. Our team has mapped data needs across Europe, building a web-based atlas of cohorts and pioneering "synthetic populations" to simulate disease spread. To turn these insights into action, we launched a digital toolkit of open-source tools for the global scientific community and established a network of expert "Data Stewards" to manage critical information during crises. By analyzing the COVID-19 response across 61 countries, we uncovered how political ideology, culture, and social fatigue influence vaccination and public adherence. Our findings highlight the delicate balance between saving lives, protecting the economy, and maintaining mental well-being. Finally, we are translating this science into clear standards for the media and policymakers, ensuring that during the next pandemic, the public receives information that is accurate, timely, and easy to understand.