| Issue |
Math. Model. Nat. Phenom.
Volume 15, 2020
Coronavirus: Scientific insights and societal aspects
|
|
|---|---|---|
| Article Number | 50 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/mmnp/2020040 | |
| Published online | 11 November 2020 | |
A stochastic time-delayed model for the effectiveness of Moroccan COVID-19 deconfinement strategy*,**
1
Center for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro,
3810-193
Aveiro,
Portugal.
2
Laboratory of Analysis, Modeling and Simulation (LAMS), Faculty of Sciences Ben M’sik, Hassan II University of Casablanca,
P.B 7955 Sidi Othman,
Casablanca,
Morocco.
*** Corresponding author: delfim@ua.pt
Received:
16
May
2020
Accepted:
28
October
2020
Coronavirus disease 2019 (COVID-19) poses a great threat to public health and the economy worldwide. Currently, COVID-19 evolves in many countries to a second stage, characterized by the need for the liberation of the economy and relaxation of the human psychological effects. To this end, numerous countries decided to implement adequate deconfinement strategies. After the first prolongation of the established confinement, Morocco moves to the deconfinement stage on May 20, 2020. The relevant question concerns the impact on the COVID-19 propagation by considering an additional degree of realism related to stochastic noises due to the effectiveness level of the adapted measures. In this paper, we propose a delayed stochastic mathematical model to predict the epidemiological trend of COVID-19 in Morocco after the deconfinement. To ensure the well-posedness of the model, we prove the existence and uniqueness of a positive solution. Based on the large number theorem for martingales, we discuss the extinction of the disease under an appropriate threshold parameter. Moreover, numerical simulations are performed in order to test the efficiency of the deconfinement strategies chosen by the Moroccan authorities to help the policy makers and public health administration to make suitable decisions in the near future.
Mathematics Subject Classification: 60H10 / 92D30
Key words: Coronavirus disease 2019 (COVID-19) / deconfinement strategy / mathematical modeling / delayed stochastic differential equations (DSDEs) / extinction
© The authors. Published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.