2019冠状病毒病在土耳其和南非传播的数学模型:理论、方法和应用

IF 4.1 3区 数学 Q1 Mathematics
Advances in Difference Equations Pub Date : 2020-01-01 Epub Date: 2020-11-25 DOI:10.1186/s13662-020-03095-w
Abdon Atangana, Seda İğret Araz
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引用次数: 0

摘要

本文对2019冠状病毒病在土耳其和南非的传播进行了全面研究。利用分别于2020年3月11日至2020年5月3日以及3月5日和5月3日期间从土耳其和南非收集的数据进行了详尽的统计分析。有人指出,就土耳其而言,受感染类别的人数与斯皮尔曼负相关,而死亡人数和康复人数与斯皮尔曼正相关。这意味着,在目前的情况下,每日感染人数可能会减少,而每日死亡人数和康复人数可能会增加。就南非而言,每日死亡人数和每日感染人数之间的斯皮尔曼负相关关系表明,如果维持目前的状况,这些数字可能会下降。利用统计技术预测每个国家每天的感染、康复和死亡人数;得到了土耳其的上边界、现状预测和下边界三个结果。每日新增感染人数、康复人数和死亡人数的直方图表现为对数正态分布和正态分布,并采用钟形曲线方法进行参数估计。提出了由9个类组成的新型肺炎数学模型;其中给出了再生数的计算公式、解的完备性和稳定性分析。将建议的模型进一步扩展到每种情况下的非本地算子范围;其中采用数值方法给出数值解,并对不同的非整数进行了模拟。此外,还详细介绍了最佳控制和其他专门比较土耳其和南非之间病例的章节,目的是了解为什么南非的死亡人数和受感染人数少于土耳其。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications.

Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications.

Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications.

Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications.

A comprehensive study about the spread of COVID-19 cases in Turkey and South Africa has been presented in this paper. An exhaustive statistical analysis was performed using data collected from Turkey and South Africa within the period of 11 March 2020 to 3 May 2020 and 05 March and 3 of May, respectively. It was observed that in the case of Turkey, a negative Spearman correlation for the number of infected class and a positive Spearman correlation for both the number of deaths and recoveries were obtained. This implied that the daily infections could decrease, while the daily deaths and number of recovered people could increase under current conditions. In the case of South Africa, a negative Spearman correlation for both daily deaths and daily infected people were obtained, indicating that these numbers may decrease if the current conditions are maintained. The utilization of a statistical technique predicted the daily number of infected, recovered, and dead people for each country; and three results were obtained for Turkey, namely an upper boundary, a prediction from current situation and lower boundary. The histograms of the daily number of newly infected, recovered and death showed a sign of lognormal and normal distribution, which is presented using the Bell curving method parameters estimation. A new mathematical model COVID-19 comprised of nine classes was suggested; of which a formula of the reproductive number, well-poseness of the solutions and the stability analysis were presented in detail. The suggested model was further extended to the scope of nonlocal operators for each case; whereby a numerical method was used to provide numerical solutions, and simulations were performed for different non-integer numbers. Additionally, sections devoted to control optimal and others dedicated to compare cases between Turkey and South Africa with the aim to comprehend why there are less numbers of deaths and infected people in South Africa than Turkey were presented in detail.

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来源期刊
自引率
0.00%
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0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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