Subject: Matematics
Year: 2023
Type: Article
Type: PeerReviewed
Title: Application of Markov Chains in Epidemiology
Author: Stojkovic, Natasa
Author: Koceva Lazarova, Limonka
Author: Kukuseva, Maja
Author: Stojanova, Aleksandra
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.
Publisher:
Relation: https://eprints.ugd.edu.mk/32249/
Identifier: oai:eprints.ugd.edu.mk:32249
Identifier: https://eprints.ugd.edu.mk/32249/1/SEEJSD-Volume-7_Issue-2-2023-1.pdfIdentifier: 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
