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
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).
