EpiLABKI


The EpiLABKI project creates an epidemic simulator for the Aschaffenburg region using artificial intelligence.

The EpiLABKI project creates an epidemic simulator
Project Management: Prof. Dr. Michael Möckel
University: TH Aschaffenburg (UAS), Germany
Research Area: Intelligent Systems
Project duration: 01.01.2021–31.12.2023

IntelligentSystems   ArtificalIntelligenceDataScience   Materials   InnovativeMaterialProcessing   CompetenceCenterAI   Prof.Dr.Möckel


Background

The EpiLABKI project started on 01 January 2021 and is funded by the Bavarian Ministry of Science and Research within the 6th funding round: Program for the Promotion of Applied Research and Development at Universities of Applied Sciences.

According to Professor Möckel, the effects of political and local measures taken in the context of the Corona pandemic, are to be predicted even better than currently possible. This will then be used to derive optimal strategies for handling the pandemic.


Objectives

The project uses artificial intelligence to model the epidemiological dynamics and the effects of health policy interventions, taking into account local social interaction patterns in the city and region of Aschaffenburg. The research of the two professors Dr. Holger von Jouanne-Diedrich and Dr. Michael Möckel focuses on the evaluation of measures for the implementation of health policy goals, such as a lockdown, by using artificial intelligence. The aim of the project is to adapt the epidemic simulator „Covasim“ to the specific requirements of the Aschaffenburg region and thus to better evaluate measures in the course of containing the pandemic.


Methods

First, the simulator is adapted to the specific requirements of the Aschaffenburg region, its population structure, infrastructure and social interaction patterns. Then the scientists link the epidemic simulator with artificial intelligence methods. Automated model scenarios are generated which describe how they will achieve health policy objectives. This should facilitate decisions by generating options for handling. These are then presented to experts for critical evaluation, thus enriching the public discussion.

The project implementation takes place in the Lab for Medical Informatics and Simulation (German information available).


Project Members

TH Aschaffenburg
University of Cambridge
Technische Universität München TUM

 

Prof. Dr. Möckel, Aschaffenburg UAS (Germany)
Prof. Dr. von Jouanne-Diedrich, Aschaffenburg UAS (Germany)
Dr. Richard Dybowski, University of Cambridge (UK)
Dr. Dieter Hoffmann, TUM (Germany)



Funding

Bavarian Ministry of Science (Bayerisches Wissenschaftsministerium)



Voices

Michael Möckel | Aschaffenburg UAS

"We are convinced that the epidemic simulator can make a valuable contribution to planning any necessary interventions and measures for the purpose of public health protection in advance and thus better predicting their impact on the citizens of the region."

 

 

Prof. Dr. Michael Möckel, Aschaffenburg UAS, Germany


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