Optimal control of the epidemic under heterogeneity conditions - decision making perspective on agent based modelling

The SARS-CoV-2 pandemic poses an unprecedented challenge to society and policy-making. Therefore, OptimAgent scientists aim to develop an agent-based model to support public health decision-making processes that can evaluate a wide range of infection control interventions.

The focus of the project is to analyze the impact of heterogeneity in the population in Germany and of their interaction on the course of infections.

OptimAgent entails six connected subprojects and a project team from 13 different institutions, all working together to achieve the central goal.

OptimAgent

OptimAgent, funded by the BMBF (Federal Ministry of Education and Research), is organized into the stages “Conceptualization”, “Development & Analysis” and “Application” and includes six interlinked subprojects. The heart of the project is subproject 5, which combines the work of all other subprojects to develop an agent-based model.

Subproject 1

Subproject 1 examines heterogeneity in contact behavior and compliance with nonpharmaceutical interventions and their impact on transmission patterns in the population.

Subproject 2

Subproject 2 focuses on psychosocial aspects that influence health behavior and creates a module for generating artificial populations.

Subproject 3

Subproject 3 develops a principled approach to derive time- and space-resolved epidemiological parameters from various data sources.

Subproject 4

Subproject 4 creates a tool for generating representative scenario populations for epidemiological models.

Subproject 5

Subproject 5 will develop an agent-based reference model for Germany that integrates work from subprojects 1-4 and 6 and enables the simulation of complex scenarios.

Subproject 6

Subproject 6 creates a decision analytic module that estimates effectiveness and efficiency of alternative non-pharmaceutical interventions.

News

Here you can find the latest updates and news from our modeling network.

OptimAgent is part of the 1st National Conference on Infectious Disease Modeling in Berlin

At the 1st National Conference on Infectious Disease Modeling, more than 100 national and international scientists gathered for the first time in Berlin to jointly promote the strengthening of modeling competence in Germany. From March 15 to 17, 2023, over 100 modelers, including all OptimAgent partners, met at the Zuse Institute Berlin to present their projects at the 1st annual meeting of the Modeling Network for Severe Infectious Diseases (MONID). Furthermore, the scientists exchanged their

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OptimAgent launches with a kick-off event in Halle

At the kick-off event, all scientists of the 13 involved institutions joined together for the first time in Halle to successfully launch the BMBF-funded modeling project. From 27 to 29 June 2022, more than 25 scientists met online and offline at the Martin Luther University Halle-Wittenberg to discuss the concrete implementation of the agent-based model being developed. The main focus of the kick-off event was to get to know each other, to present the six

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Network partners

Scientists from the following institutions are involved in the OptimAgent modeling network:

  • Martin Luther University Halle-Wittenberg
  • University Münster
  • Helmholtz-Centre for Infection Research
  • University of Kaiserslautern-Landau
  • Freie Universität Berlin
  • University Trier
  • Bielefeld University
  • University Leipzig
  • University of Lübeck
  • University Medical Center Utrecht
  • Wroclaw University of Science and Technology
  • UMIT Tirol – Private University for Health Sciences and Health Technology
  • NET CHECK