Application of Markov Chains in Epidemiology

Stojkovic, Natasa and Koceva Lazarova, Limonka and Kukuseva, Maja and Stojanova, Aleksandra (2023) Application of Markov Chains in Epidemiology. South East European Journal of Sustainable Development, 7. pp. 35-39. ISSN 2545-4463

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Abstract

Recently, mathematical models are used to describe epidemic disease spread. Epidemic disease transmission
outbreaks are modeled among Markov chain in order to monitor and control epidemic spreads. In this paper SIS
(Susceptible- Infections- Susceptible) and SIR (Susceptive- Infectious- Recovered) models with discrete Markov
chain are represented. These models are developed to see how the number of infected individuals changes over time.
In this paper a review of a discrete model of Markov chain for describing epidemic spread is represented. The aim of
this review is to explain the formulation of SIR and SIS epidemic models for the spread of infectious disease and to
estimate transmission rate and recovery rates.

Item Type:	Article
Subjects:	Natural sciences > Matematics
Divisions:	Faculty of Computer Science
Depositing User:	Maja Kukuseva
Date Deposited:	27 Sep 2023 09:23
Last Modified:	27 Sep 2023 09:23
URI:	https://eprints.ugd.edu.mk/id/eprint/32249

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