MODUS-COVID: Model-based investigation of school closures and other measures to mitigate Covid-19 - Subproject 1: Urban and regional simulation based on data-driven synthetic movement profiles

  • Funded by Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
  • Total publications:2 publications

Grant number: 01KX2022A

Grant search

Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2021
  • Known Financial Commitments (USD)

    $702,333.3
  • Funder

    Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
  • Principal Investigator

    Prof Dr Kai Nagel
  • Research Location

    Germany
  • Lead Research Institution

    Technische Universität Berlin
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The spread of SARS-CoV-2 poses considerable problems for the world, including Germany. As is well known, extensive restrictions on normal life have been decided to avert an overload of the health system. In this cooperation between Technische Universität Berlin (Prof. Nagel, Department of Transport System Planning and Telematics), the Humboldt University of Berlin (Prof. Brockmann, Institute for Theoretical Biology) and the Free University of Berlin (Prof. Schütte, Zuse Institute Berlin) complex model applications are used to investigate the infection dynamics in an urban, regional and nationwide context. The overall goal of the MODUS-COVID joint project is to investigate the effects of non-pharmaceutical interventions (NPIs) on the infection dynamics of SARS-CoV-2, with at least initially a special focus on school closings. The project also aims to improve the understanding of infection chains and the dynamics of spread within urban areas as well as in a regional and nationwide context. In addition to examining school closings, other measures and combinations of measures to curb the spread of SARS-CoV-2 are examined and model-based policy recommendations are formulated. The aim of MODUS-COVID - subproject 1 is the extension of a mesoscopic traffic simulation to simulate infection dynamics, the testing and processing of sub-contracted mobile data-based movement patterns, as well as the implementation of measures within the activity and traffic model.

Publicationslinked via Europe PMC

Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data.

Prediction of Covid-19 spreading and optimal coordination of counter-measures: From microscopic to macroscopic models to Pareto fronts.