Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/195310| Title: | A stochastic epidemic model of COVID-19 disease |
| Author: | Bardina i Simorra, Xavier Ferrante, Marco Rovira Escofet, Carles |
| Keywords: | COVID-19 Anàlisi estocàstica Models matemàtics COVID-19 Analyse stochastique Mathematical models |
| Issue Date: | 2020 |
| Publisher: | AIMS Press |
| 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. |
| Note: | Reproducció del document publicat a: https://doi.org/10.3934/math.2020490 |
| It is part of: | AIMS Mathematics, 2020, vol. 5, num. 6, p. 7661-7677 |
| URI: | https://hdl.handle.net/2445/195310 |
| Related resource: | https://doi.org/10.3934/math.2020490 |
| ISSN: | 2473-6988 |
| Appears in Collections: | Articles publicats en revistes (Matemàtiques i Informàtica) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 707339.pdf | 873.44 kB | Adobe PDF | View/Open |
This item is licensed under a
Creative Commons License
