THE IMPACT OF HEALTHY DIET ON COVID-19 PANDEMIC USING CONTINENTS, GROSS DOMESTIC PRODUCT AND POPULATION
Authors:   Near East University Faculty of Medicine, Turkey, Owolabi Olukokun Olanrewaju , Etikan İlker ,   Near East University Faculty of Medicine, Turkey
Published: June 2022

Many researchers have focused on COVID-19 Pandemic which was a global phenomenon and has brought about by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) which started in late 2019, this disease has spread throughout all globes and has affected the entire world and is one of the most leading cause of death in countries and continents. The aim of the study is to ascertain the relationship that exist between COVID-19 Pandemic Continents, Gross Domestic Product and Population between November 2019 to September 2020. Design: The researchers studied 170 countries and the dataset was extracted from the Kaggle database. The factors analyzed Qualitatively were data distribution of Continents Table 1., GDP per capita Table 2., and Population Category Table 3. Also Quantitatively data of COVID-19 variables (Confirmed, Death, Recovered, and Active cases) and Obesity Table 4., Correlation was also established to test the relationship between GDP per capita & COVID 19 Variables Table 5. Regression for the joint contributions of independent variables (GDP growth, Population, GDP per capita & Obesity) to the prediction of COVID 19 Death Table 6 and Relative effect of the independent variables (GDP growth, Population, GDP per capita & Obesity) to the prediction of COVID 19 Death Table 7 were also analyzed. Results: Based on the period we considered 170 Countries. There were 27.1 % (46) out of 170 Countries which was allotted to Africa Participants and the p-value < 0.05 which shows that Africans are majority of the data collected, GDP per capita 31.2%(53) under $ 0- $2499, Population category showed highest category to be 35.9% (61) under 988,003- 9,904,896, COVID-19 variables (Confirmed, Death, Recovered, and Active cases) and Obesity shows the outbreak of pandemic, a total of 331 cases was confirmed, 6 death cases, 238 recovered cases, active cases is 92, while 3124 of the sample across continents were found to be obese.. Correlation Test used show that the relationship between GDP per capita & COVID 19 Variables, GDP per capita is positively correlated with number of COVID Variables Confirmed cases (r = .477, p<0.01), number of Covid 19 Death cases (r = .363, p<0.01), Covid 19 Recovered cases (r = .272, p<0.01) and number of Covid 19 Active cases (r= .416, p< 0.01). Regression Analysis showed a coefficient of multiple regressions R = 0.514 and multiple R-square = 0.264, it means that 26.4% variation in dependent variables (COVID Death) is explained by the independent variables (GDP growth, Population, GDP per capita & Obesity ) and their exist a joint contributions of independent variables to the prediction of COVID 19 Death and Regression Analysis performed reveals that (GDP per capita Beta = .201, t= 2.751, p<0.01). and Obesity (Beta = .415, t= 5.465, p<0.01)) are potent predictors of COVID 19 Death among patients While GDP growth (Beta = .105, t= 1.524, P>0.01) and Population (Beta = .020, t = .288, p>0.01) are not significant predictors of Covid 19 Death.