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 language | English |
|---|---|
| Title of host publication | 2021 25th International Conference on System Theory, Control and Computing (ICSTCC) : October 20 – 23, 2021 Iași, Romania, Proceedings |
| Editors | Lavinia Ferariu, Mihaela-Hanako Matcovschi, Florina Ungureanu |
| Number of pages | 6 |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 2021 |
| Pages | 564-569 |
| ISBN (print) | 978-1-6654-3055-5 |
| ISBN (electronic) | 978-1-6654-1496-8 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 25th 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 |
- SDG 3 - Good Health and Well-being
Sustainable Development Goals
- COVID-19, Germany, MATLAB, Modeling, ODE, SARS-CoV-2, Simulation
- Engineering