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

TLDR
In this article, a comprehensive study about the spread of COVID-19 cases in Turkey and South Africa has been presented, where 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.
Abstract
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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A fractional order mathematical model for COVID-19 dynamics with quarantine, isolation, and environmental viral load

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Modeling and forecasting the spread of COVID-19 with stochastic and deterministic approaches: Africa and Europe

TL;DR: In this article, the authors presented a statistical analysis of forecast of the future number of daily deaths and infections up to 10 September 2020 using the existing collected data from European and African countries.
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Nonlinear equations with global differential and integral operators: Existence, uniqueness with application to epidemiology

TL;DR: In this article, a detailed analysis of an important class of differential equations called stochastic equations with the new classes of differential operators with the global derivative with integer and non-integer orders is presented.
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The influence of an infectious disease on a prey-predator model equipped with a fractional-order derivative

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References
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Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission

TL;DR: A precise definition of the basic reproduction number, R0, is presented for a general compartmental disease transmission model based on a system of ordinary differential equations and it is shown that, if R0<1, then the disease free equilibrium is locally asymptotically stable; whereas if R 0>1,Then it is unstable.
Journal ArticleDOI

New Fractional Derivatives with Nonlocal and Non-Singular Kernel: Theory and Application to Heat Transfer Model

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Early dynamics of transmission and control of COVID-19: a mathematical modelling study.

TL;DR: A stochastic transmission model is combined with data on cases of coronavirus disease 2019 (COVID-19) in Wuhan and international cases that originated inWuhan to estimate how transmission had varied over time during January, 2020, and February, 2020.

A new Definition of Fractional Derivative without Singular Kernel

TL;DR: In this article, the authors present a new definition of fractional derivative with a smooth kernel, which takes on two different representations for the temporal and spatial variable, for which it is more convenient to work with the Fourier transform.
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