Hammoumi Aayah, Qesmi Redouane
Department of Biology, Cadi Ayyad University, Semlalia, Marrakech 40000, Morocco.
Superior School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco.
Chaos Solitons Fractals. 2020 Nov;140:110231. doi: 10.1016/j.chaos.2020.110231. Epub 2020 Aug 22.
Since the appearance of the first case of COVID-19 in Morocco on March, 02, 2020, the cumulative number of reported infectious cases continues to increase and, up to date, the peak-time of infection is not reached yet. In this study, we propose a Susceptible-Asymptomatic-Infectious deterministic model to evaluate the impact of compulsory containment imposed in Morocco on March, 21 on the spread of COVID-19 epidemic across the country. The model takes account of the unconfined individuals that continue to work or to leave their home for urgent needs and the existence of infectious asymptomatic and unreported individuals within susceptible population. Furthermore, the model is able to predict the peak-size, peak-time, final size and epidemic duration according to different rates of containment. Advanced knowledge of these details will be of great interest to establish an optimal plan-of-action to control or eradicate the epidemic. Indeed, mitigating and delaying the epidemic peak allow the official health authorities to anticipate and control the spread of COVID-19. Moreover, prediction of the epidemic duration can help the government to predict the end time of containment to avoid consequent social-economic damages as well. Using our model, the basic reproduction number is estimated to be 2.9949, with reflecting a high speed of spread of the epidemic. The model shows that the compulsory containment can be efficient if more than 73% of population are confined. In the absence of other efficient measure of control, even with 90% of containment, the end-time is estimated to happen on July, 4, 2020 with 7558 final cumulative cases. Furthermore, a threshold value of containment rate, below which the epidemic duration is postponed, has been determined. Finally, the sensitivity analysis is performed and showed that the COVID-19 dynamics strongly depends on the asymptomatic duration as well as the contact and containment rates. Our previsions can help the government to adjust its plan-of-action to fight the disease and to face the social-economic shock induced by the containment.
自2020年3月2日摩洛哥出现首例新冠肺炎病例以来,报告的感染病例累计数量持续增加,截至目前,尚未达到感染高峰期。在本研究中,我们提出了一个易感-无症状-感染确定性模型,以评估摩洛哥3月21日实施的强制隔离措施对新冠肺炎疫情在全国传播的影响。该模型考虑了继续工作或因紧急需求离家的未被隔离个体,以及易感人群中存在的无症状和未报告感染个体。此外,该模型能够根据不同的隔离率预测峰值大小、峰值时间、最终规模和疫情持续时间。提前了解这些细节对于制定控制或根除疫情的最佳行动计划将非常有帮助。事实上,减轻和推迟疫情高峰能让官方卫生当局预测和控制新冠肺炎的传播。此外,预测疫情持续时间有助于政府预测隔离结束时间,以避免随之而来的社会经济损害。使用我们的模型,基本再生数估计为2.9949,这反映了疫情的高速传播。该模型表明,如果超过73%的人口被隔离,强制隔离可能会有效。在没有其他有效控制措施的情况下,即使隔离率达到90%,预计结束时间为2020年7月4日,最终累计病例为7558例。此外,还确定了一个隔离率阈值,低于该阈值疫情持续时间将推迟。最后,进行了敏感性分析,结果表明新冠肺炎疫情动态强烈依赖于无症状持续时间以及接触率和隔离率。我们的预测可以帮助政府调整抗击疫情的行动计划,并应对隔离措施引发的社会经济冲击。