模拟Covid-19大流行的传播:以摩洛哥为例

Q3 Mathematics Epidemiologic Methods Pub Date : 2020-05-01 DOI:10.1515/em-2020-0004
Bilal Lotfi, Ismail Lotfi, Oussama Aoun
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引用次数: 8

摘要

摘要目的研究摩洛哥新冠肺炎大流行的传播动态与公共当局采取的控制措施和行动的效率之间的关系。主要目标是预测摩洛哥COVID-19大流行的演变,并估计其消失所需的时间。基于这些原因,我们强调了数学模型在理解该病毒的传播链及其未来演变中的作用。然后我们使用SIR流行病学模型,该模型被证明非常适合解决这个问题。它表明,确定这种大流行的关键参数,例如传播的可能性,应有助于充分解释其行为并使其更容易预测其进展。结果,摩洛哥公共当局采取的措施和行动使病毒繁殖的数量低于许多国家。因此,在摩洛哥的情况下,我们能够预测Covid-19大流行应该在更短的时间内消失,并且与其他国家相比,登记的感染人数不会更多。
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Modeling the spread of Covid-19 pandemic: case of Morocco
Abstract Objective This paper is establishing the relationship between the spreading dynamics of the Covid-19 pandemic in Morocco and the efficiency of the measures and actions taken by public authorities to contain it. The main objective is to predict the evolution of the COVID-19 pandemic in Morocco and to estimate the time needed for its disappearance. Methods For these reasons, we have highlighted the role of mathematical models in understanding the transmission chain of this virus as well as its future evolution. Then we used the SIR epidemiological model, which proves to be well suited to address this issue. It shows that identification of the key parameters of this pandemic, such as the probability of transmission, should help to adequately explain its behaviour and make it easier to predict its progress. Results As a result, the measures and actions taken by the public authorities in Morocco allowed to record lower number of virus reproduction than many countries. Conclusion So, in the case of Morocco, we were able to predict that the Covid-19 pandemic should disappear in a shorter time and without registering a larger number of infected individuals compared to other countries.
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来源期刊
Epidemiologic Methods
Epidemiologic Methods Mathematics-Applied Mathematics
CiteScore
2.10
自引率
0.00%
发文量
7
期刊介绍: Epidemiologic Methods (EM) seeks contributions comparable to those of the leading epidemiologic journals, but also invites papers that may be more technical or of greater length than what has traditionally been allowed by journals in epidemiology. Applications and examples with real data to illustrate methodology are strongly encouraged but not required. Topics. genetic epidemiology, infectious disease, pharmaco-epidemiology, ecologic studies, environmental exposures, screening, surveillance, social networks, comparative effectiveness, statistical modeling, causal inference, measurement error, study design, meta-analysis
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