Document type
ArticleVersion
Published versionPublication date
Publication license
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/195310
A stochastic epidemic model of COVID-19 disease
Journal Title
Director/Tutor
Journal ISSN
Volume Title
Related resource
Abstract
To model the evolution of diseases with extended latency periods and the presence of asymptomatic patients like COVID-19, we define a simple discrete time stochastic SIR-type epidemic model. We include both latent periods as well as the presence of quarantine areas, to capture the evolutionary dynamics of such diseases.
Subject
Subject (English)
Citation
Citation
BARDINA I SIMORRA, Xavier, FERRANTE, Marco and ROVIRA ESCOFET, Carles. A stochastic epidemic model of COVID-19 disease. AIMS Mathematics. 2020. Vol. 5, num. 6, pags. 7661-7677. ISSN 2473-6988. [consulted: 15 of August of 2026]. Available at: https://hdl.handle.net/2445/195310