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Simulation of SARS-CoV-2 pandemic in Germany with ordinary differential equations in MATLAB

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Authors

Simulation of pandemic or epidemic situations is an important discipline for disease control and containment. In addition, it can provide clues to weaknesses in control and possible sources of infection. The following model for the simulation of the SARS-Cov-2 spread in Germany was developed in the context of a complementary course at the Leuphana University. It tries to simulate different scenarios of the number of cases with the help of ODE. MATLAB is used as software.One scenario goes from no constraints, then the contact rate is lowered, and immunity is removed. At the end of the simulation a vaccination is available. In the results the simulation is compared with the reality.

Original languageEnglish
Title of host publication2021 25th International Conference on System Theory, Control and Computing (ICSTCC) : October 20 – 23, 2021 Iași, Romania, Proceedings
EditorsLavinia Ferariu, Mihaela-Hanako Matcovschi, Florina Ungureanu
Number of pages6
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date2021
Pages564-569
ISBN (print)978-1-6654-3055-5
ISBN (electronic)978-1-6654-1496-8
DOIs
Publication statusPublished - 2021
Event25th International Conference on System Theory, Control and Computing - Iasi, Romania
Duration: 20.10.2021 → 23.10.2021
Conference number: 25
https://ieeexplore.ieee.org/xpl/conhome/9607028/proceeding

    Research areas

  • COVID-19, Germany, MATLAB, Modeling, ODE, SARS-CoV-2, Simulation
  • Engineering

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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