An AI-powered 4-dimension dynamic decision-making framework to boost anti-pandemic strategy: a comprehensive evaluation and microsimulation study

The purpose of the project is to support local and national decision-making in pandemic control and prevention with tangible evidence and convenient tools.

We aim to evaluate and compare the health and socioeconomic cost and effectiveness of various anti-pandemic strategies in Europe, with a focus on Sweden, and examine an artificial intelligence-powered decision-making framework.

The project will be implemented at Örebro University, a rising AI research center in Sweden, in close collaboration with Umeå University, Karolinska Institutet, and the University of Iceland. The project consists of three interrelated, progressively deeper studies that will be conducted between 2023 and 2025.

Study 1 is a comprehensive evaluation and comparison of anti-COVID-19 strategies in Europe.

Study 2 will build and test an AI-powered 4-dimension dynamic decision-making process to promote anti-pandemic strategies.

Study 3 is a microsimulation study that will use individual-level data from Swedish national registries to simulate the progress and consequences of COVID-19 and a hypothetical pandemic in Sweden.

Our research aims to strengthen the country’s anti-pandemic systems for detecting pandemic outbreaks, assessing crises, ensuring health regulations, upgrading healthcare service delivery systems, ensuring innovative infection control and global research collaboration, and therefore, proactively and successfully preparing for the next pandemic and minimizing health and socioeconomic losses.