  Nowadays, coronavirus disease 2019 (COVID-19) poses a great threat to public
health and economy worldwide. Unfortunately, there is yet no effective drug for
this disease. For this, several countries have adopted multiple preventive
interventions to avoid the spread of COVID-19. Here, we propose a delayed
mathematical model to predict the epidemiological trend of COVID-19 in Morocco.
Parameter estimation and sensitivity analysis of the proposed model are
rigorously studied. Moreover, numerical simulations are presented in order to
test the effectiveness of the preventive measures and strategies that were
imposed by the Moroccan authorities and also help policy makers and public
health administration to develop such strategies.
