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

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...

Full description

Bibliographic Details
Main Authors: Abdon Atangana, Seda İğret Araz
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Advances in Difference Equations
Subjects:
Online Access:https://doi.org/10.1186/s13662-020-03095-w
id doaj-80d1cffb6fd149afb0e88b36e160a47b
record_format Article
spelling doaj-80d1cffb6fd149afb0e88b36e160a47b2020-12-27T12:18:17ZengSpringerOpenAdvances in Difference Equations1687-18472020-11-012020118910.1186/s13662-020-03095-wMathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applicationsAbdon Atangana0Seda İğret Araz1Institute for Groundwater Studies, Faculty of Natural and Agricultural Sciences, University of the Free StateDepartment of Mathematic Education, Faculty of Education, Siirt UniversityAbstract 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.https://doi.org/10.1186/s13662-020-03095-wStatistical analysisBell curvePredictionNew COVID-19 modelNonlocal operatorsOptimal control
collection DOAJ
language English
format Article
sources DOAJ
author Abdon Atangana
Seda İğret Araz
spellingShingle Abdon Atangana
Seda İğret Araz
Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications
Advances in Difference Equations
Statistical analysis
Bell curve
Prediction
New COVID-19 model
Nonlocal operators
Optimal control
author_facet Abdon Atangana
Seda İğret Araz
author_sort Abdon Atangana
title Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications
title_short Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications
title_full Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications
title_fullStr Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications
title_full_unstemmed Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications
title_sort mathematical model of covid-19 spread in turkey and south africa: theory, methods, and applications
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2020-11-01
description 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.
topic Statistical analysis
Bell curve
Prediction
New COVID-19 model
Nonlocal operators
Optimal control
url https://doi.org/10.1186/s13662-020-03095-w
work_keys_str_mv AT abdonatangana mathematicalmodelofcovid19spreadinturkeyandsouthafricatheorymethodsandapplications
AT sedaigretaraz mathematicalmodelofcovid19spreadinturkeyandsouthafricatheorymethodsandapplications
_version_ 1724369177553141760