使用时空立方体分析阿尔及利亚COVID-19的时空模式

Q1 Mathematics International Review on Modelling and Simulations Pub Date : 2022-02-28 DOI:10.15866/iremos.v15i1.21282

M. Midoun, Asma Amrani-Midoun

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引用次数: 1

摘要

本研究旨在分析阿尔及利亚2019冠状病毒大流行（SARS-CoV-2）的时空模型，并确定大流行的分布和时空演变特征。因此，时空立方体被用于分析非典型肺炎冠状病毒2型病例的局部异常值、时空聚类模型以及冷点和热点的趋势。这项研究得出的结论是，疫情起初在阿尔及利亚北部缓慢传播，然后迅速加速，影响到整个国家，然后减缓并稳定下来。此外，异常值分析结果表明，在研究期间，疫情具有较高的聚集模式，而低-低异常值一直是主要的时空聚集模式，这表明疫情总体上保持在相对较低的水平。此外，对新出现热点的分析有助于发现阿尔及利亚北部地区的不同类型热点，以及该国南部和中部的不同类型冷点。最后，使用基于时空立方体的时空分析可以确定严重急性呼吸系统综合征冠状病毒2型数据的不同时空模型。©2022赞美值得奖S.r.l.-保留所有权利。

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Analysis of Spatiotemporal Pattern for COVID‐19 in Algeria Using Space‐Time-Cubes

This study aims to analyze the spatiotemporal models of the 2019 coronavirus pandemic (SARS CoV-2) in Algeria and to identify the distribution and spatiotemporal evolution characteristics of the pandemic. Thus, space-time cubes were used to analyze the local outliers, spatiotemporal clustering models and the trends of cold spots and hotspots of the SARS CoV-2 cases. This study has concluded that the pandemic, at first, has spread slowly in northern Algeria, and then has accelerated quickly to affect the whole country, before slowing down and stabilizing. In addition, the results of the outliers analysis has suggested that the pandemic had a high clustering pattern during the studied period, and the Low-Low outlier has been the main spatiotemporal clustering pattern, which indicates that the pandemic situation has remained at a relatively low level in general. In addition, the analysis of emerging hotspots has helped to detect different types of hotspots in the northern areas of Algeria and different types of cold spots in the far south and in the center of the country. Finally, the use of spatiotemporal analysis based on space time cubes can determine the different spatiotemporal models of SARS CoV-2 data. © 2022 Praise Worthy Prize S.r.l.-All rights reserved.

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来源期刊

International Review on Modelling and Simulations Engineering-Mechanical Engineering

CiteScore

2.80

自引率

0.00%

发文量

期刊介绍： The International Review on Modelling and Simulations (IREMOS) is a peer-reviewed journal that publishes original theoretical and applied papers concerning Modelling, Numerical studies, Algorithms and Simulations in all the engineering fields. The topics to be covered include, but are not limited to: theoretical aspects of modelling and simulation, methods and algorithms for design control and validation of systems, tools for high performance computing simulation. The applied papers can deal with Modelling, Numerical studies, Algorithms and Simulations regarding all the engineering fields; particularly about the electrical engineering (power system, power electronics, automotive applications, power devices, energy conversion, electrical machines, lighting systems and so on), the mechanical engineering (kinematics and dynamics of rigid bodies, vehicle system dynamics, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, computational mechanics, mechanics of materials and structures, plasticity, hydromechanics, aerodynamics, aeroelasticity, biomechanics, geomechanics, thermodynamics, heat transfer, refrigeration, fluid mechanics, micromechanics, nanomechanics, robotics, mechatronics, combustion theory, turbomachinery, manufacturing processes and so on), the chemical engineering (chemical reaction engineering, environmental chemical engineering, materials synthesis and processing and so on). IREMOS also publishes letters to the Editor and research notes which discuss new research, or research in progress in any of the above thematic areas.