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Article

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Published version

Publication date

2020

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cc-by (c) Bardina i Simorra, Xavier et al., 2020
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

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https://doi.org/10.3934/math.2020490

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

COVID-19, Anàlisi estocàstica, Models matemàtics

Subject (English)

COVID-19, Analyse stochastique, Mathematical models

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Articles publicats en revistes (Matemàtiques i Informàtica)

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

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