Literature DB >> 33391372

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

Abdon Atangana1,2, Seda İğret Araz3.   

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.
© The Author(s) 2020.

Entities:  

Keywords:  Bell curve; New COVID-19 model; Nonlocal operators; Optimal control; Prediction; Statistical analysis; Turkey vs South Africa

Year:  2020        PMID: 33391372      PMCID: PMC7758164          DOI: 10.1186/s13662-020-03095-w

Source DB:  PubMed          Journal:  Adv Differ Equ        ISSN: 1687-1839


  25 in total

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Authors:  Amit Kumar Shakya; Ayushman Ramola; Anurag Vidyarthi
Journal:  Model Earth Syst Environ       Date:  2021-08-25

2.  A Novel Mathematical Model for COVID-19 with Remedial Strategies.

Authors:  Shumaila Javeed; Subtain Anjum; Khurram Saleem Alimgeer; M Atif; Mansoor Shoukat Khan; W Aslam Farooq; Atif Hanif; Hijaz Ahmed; Shao-Wen Yao
Journal:  Results Phys       Date:  2021-05-08       Impact factor: 4.476

3.  Modelling personal cautiousness during the COVID-19 pandemic: a case study for Turkey and Italy.

Authors:  Hatice Bulut; Meltem Gölgeli; Fatihcan M Atay
Journal:  Nonlinear Dyn       Date:  2021-05-11       Impact factor: 5.022

4.  A fractional order Covid-19 epidemic model with Mittag-Leffler kernel.

Authors:  Hasib Khan; Muhammad Ibrahim; Abdel-Haleem Abdel-Aty; M Motawi Khashan; Farhat Ali Khan; Aziz Khan
Journal:  Chaos Solitons Fractals       Date:  2021-05-12       Impact factor: 9.922

5.  Projections and fractional dynamics of COVID-19 with optimal control strategies.

Authors:  Khondoker Nazmoon Nabi; Pushpendra Kumar; Vedat Suat Erturk
Journal:  Chaos Solitons Fractals       Date:  2021-01-28       Impact factor: 5.944

6.  A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model.

Authors:  N H Sweilam; S M Al-Mekhlafi; D Baleanu
Journal:  Chaos Solitons Fractals       Date:  2021-02-10       Impact factor: 5.944

7.  Controlling of pandemic COVID-19 using optimal control theory.

Authors:  Shahriar Seddighi Chaharborj; Sarkhosh Seddighi Chaharborj; Jalal Hassanzadeh Asl; Pei See Phang
Journal:  Results Phys       Date:  2021-05-19       Impact factor: 4.476

8.  Dynamics and bifurcation analysis of a state-dependent impulsive SIS model.

Authors:  Jinyan Wang
Journal:  Adv Differ Equ       Date:  2021-06-12

9.  On study of fractional order epidemic model of COVID-19 under non-singular Mittag-Leffler kernel.

Authors:  Sara Salem Alzaid; Badr Saad T Alkahtani
Journal:  Results Phys       Date:  2021-06-12       Impact factor: 4.476

10.  A case study of 2019-nCOV cases in Argentina with the real data based on daily cases from March 03, 2020 to March 29, 2021 using classical and fractional derivatives.

Authors:  Pushpendra Kumar; Vedat Suat Erturk; Marina Murillo-Arcila; Ramashis Banerjee; A Manickam
Journal:  Adv Differ Equ       Date:  2021-07-20
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