Mathematical Model For Predictions of COVID-19 Dynamics

Koceva Lazarova, Limonka and Stojkovic, Natasa and Stojanova, Aleksandra and Miteva, Marija and Ljubenovska, Marija (2022) Mathematical Model For Predictions of COVID-19 Dynamics. International Journal of Applied Mathematics, 35 (1). pp. 119-133. ISSN 1314-8060

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Abstract

COVID-19 outbreak presents the biggest global health creases in last century. Its pandemic spread and influence in everyday social life, economics and health is in central interest of concern for all governments in the world. This pandemic is the worst global disasters since the World Wars and pandemic from 1918, which completely change normal life of people. The combat against Covid-19 is playing a central role in all branches in each country in order to minimize the damage caused by this pandemic. Mathematical modelling of spread of infection and predictions that derived from the models can be used as efficient tool in this combat and can give precise direction to authorities to implement new or balance the already implemented restrictions and measures in order to decrease harmful consequences from epidemic. In this paper we are implementing new modified SEIRS-D model on Republic of North Macedonia epidemic situation, using AnyLogic software. Using this model, we give prediction of spread of disease with or without restriction measures.

Item Type:	Article
Uncontrolled Keywords:	SEIRS-D model, COVID-19, differential equations, mathematical modelling, simulation, AnyLogic
Subjects:	Natural sciences > Computer and information sciences Natural sciences > Matematics
Divisions:	Faculty of Computer Science
Depositing User:	Limonka Koceva Lazarova
Date Deposited:	28 Nov 2022 11:56
Last Modified:	28 Nov 2022 11:56
URI:	https://eprints.ugd.edu.mk/id/eprint/30561

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