Abstract
The article presents selected compartmental epidemiological models. The SI model is discussed, which is considered to be the most basic epidemiological compartmental model. The SVIR model was also analyzed, which additionally takes into account e.g. use of vaccinations. In addition to theoretical elaboration, the article also includes simulations based on real coronavirus pandemic data in selected countries. The obtained results show that on the basis of real data from a certain period of time, it is possible to predict the trend of the further course of infection in a given population.
| Original language | English |
|---|---|
| Pages (from-to) | 102-111 |
| Number of pages | 10 |
| Journal | CEUR Workshop Proceedings |
| Volume | 3575 |
| Publication status | Published - 2023 |
| Event | 28th International Conference on Information Society and University Studies, IVUS 2023 - Kaunas, Lithuania Duration: 12 May 2023 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- SARS-Cov-2
- differential equation
- epidemic
- epidemiological model
- mathematical model
ASJC Scopus subject areas
- General Computer Science
Fingerprint
Dive into the research topics of 'Epidemiological modeling based on coronavirus data'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver