Mathematical modeling of COVID-19 virus

Ljubenovska, Marija and Koceva Lazarova, Limonka and Stojkovic, Natasa 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.

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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: 10 Aug 2024 17:52
URI: https://eprints.ugd.edu.mk/id/eprint/28640

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