Demonstration of intelligent decision support for pandemic crisis prediction and management within and across European borders (STAMINA)
Communicable diseases have the potential to result in serious cross-border public health threats. Efforts have been made to improve health security in the EU area through sharing of information and services. However management of this type of crisis remains an incredible challenge in a cross-border arena where there are different legal, administrative, professional and political cultures and therefore it becomes harder to detect threats, understand current circumstances and make joint decisions.
STAMINA aims to contribute to this crucial effort by focusing on providing solutions for the preparedness and response phases of the emergency management cycle by facilitating intelligent evidence-based decision support for practitioners at national and regional levels involved in pandemic crises management. For this purpose, STAMINA offers a variety of tools and guidelines. STAMINA leverages on concepts and technology that is either commercially available or has sufficiently matured through previous research projects, but not yet used by the national and regional health emergency planners or first responders of Europe in their daily practice of pandemics management.
The Coronavirus pandemic and the way COVID-19 outbreak affects all aspects of our society highlights the need for more research in the area of planning and preparedness for such global crises. STAMINA’s efforts will draw upon evidence and experiences from actions taken in the current pandemic crisis.
Meet the Principal Investigator(s) for the project
Dr Anastasia Anagnostou - Dr Anastasia Anagnostou is a Senior Lecturer in the Department of Computer Science at Brunel University London and the co-lead of the Modelling & Simulation Group (MSG). She is also member of the Intelligent Data Analytics (IDA) Group.
She holds a PhD in Distributed Modelling & Simulation, an MSc in Telemedicine and e-Health Systems and a BSc(Hons) in Electronic Engineering. Her research interests lie in the areas of Advanced Computing Infrastructures for Modelling and Simulation, Open Science for Simulation, Hybrid Distributed Simulation and Modelling and Simulation for Healthcare and Industrial Applications. Since 2011, she has been involved in several interdisciplinary research projects with stakeholders from industry and academia across manufacturing, healthcare, defence and food supply chains. She has also worked in Africa helping to develop digital infrastructures and collaborative services enabling open science.
She is co-chair for the OR Society’s Simulation Workshop (SW21) and member of organising committees for international conferences sponsored by the IEEE and ACM/SIGSIM.
She has been awarded Horizon 2020 funding for a 9.5 million Euro project (Brunel contribution €370K) entitled “Demonstration of intelligent decision support for pandemic crisis prediction and management within and across European borders” (STAMINA).
Related Research Group(s)
Computer Science for Social Good - Our group works with partners in the Global South to lead and promote interdisciplinary research in the field of computer science and social good. We focus on investigating and developing new ways and innovative technologies to address challenging socio-economic problems.
Health Economics (HERG) - Our strategic focus is on economic evaluation and systematic reviews of a broad range of clinical and health service technologies by providing high-quality, applied, policy-relevant research, as well as developing and refining methods to increase the rigour and relevance of such studies.
Smart Technology Advancements in Health and Rehabilitation - Data science/wearable technology and Rehabilitation; Haptic feedback, multi-sensory interfacing and Robotics in Health; Immersion and Engagement in Virtual Rehabilitation; TeleHealth/TeleRehab; Data: using AI and Machine learning to improve health.
Partnering with confidence
Organisations interested in our research can partner with us with confidence backed by an external and independent benchmark: The Knowledge Exchange Framework. Read more.
Project last modified 02/10/2023