Ljubenovska, Marija and Koceva Lazarova, Limonka and Stojkovikj, Natasha and Stojanova, Aleksandra and Miteva, Marija (2021) Mathematical modeling of COVID-19 virus. In: 18th International Conference on Informatics and Information Technologies, CIIT 2021, 6-7 May 2021.
![[thumbnail of ciit-2021-proceedings.pdf]](/style/images/fileicons/text.png) |
Text
ciit-2021-proceedings.pdf - Published Version Download (967kB) |
Abstract
The mathematical modelling in epidemiology has high importance. All the infectious diseases can be modeled and represented with mathematical models in order to predict their behavior. In this paper we use the SEIRS-D model for
describing the situation with COVID-19 virus. Also, we apply
this SEIRS-D model in AnyLogic Simulation Modeling Software. The COVID-19 virus is described depending on various factors as: time for recovery, reproduction number, time for incubation.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences Natural sciences > Matematics |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Limonka Koceva Lazarova |
| Date Deposited: | 26 Oct 2021 08:40 |
| Last Modified: | 26 Oct 2021 08:40 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/28640 |
Actions (login required)
 |
View Item |