Toolbox to simulate and mitigate COVID-19 propagation

Zahrate El Oula Frihi; Julian Barreiro-Gomez; Salah Eddine Choutri; Hamidou Tembine

SoftwareX (Jun 2021)

Toolbox to simulate and mitigate COVID-19 propagation

Zahrate El Oula Frihi,
Julian Barreiro-Gomez,
Salah Eddine Choutri,
Hamidou Tembine

Affiliations

Zahrate El Oula Frihi: Lab. of Probability and Statistics (LaPS), Department of Mathematics, Badji-Mokhtar University, B.P.12, 23000, Annaba, Algeria
Julian Barreiro-Gomez: Learning & Game Theory Laboratory (L&G-Lab), New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE; NYUAD Research Institute, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE
Salah Eddine Choutri: Learning & Game Theory Laboratory (L&G-Lab), New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE; NYUAD Research Institute, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE; Corresponding author at: NYUAD Research Institute, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE.
Hamidou Tembine: Learning & Game Theory Laboratory (L&G-Lab), New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE; NYUAD Research Institute, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE

Journal volume & issue: Vol. 14
p. 100673

Abstract

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In this paper, we present an age-and-migration-dependent Markov-chain-based model for the propagation of the COVID-19, together with a user-friendly MatLab-based toolbox. Furthermore, we present examples to simulate the propagation of the virus internationally and locally (in a particular country).

Published in SoftwareX

ISSN: 2352-7110 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
Website: http://www.journals.elsevier.com/softwarex/

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